Self-directed Learning Research Articles

Blended Learning: What Changes?

This article questions the changes brought about in the teaching system of university courses after the COVID-19 pandemic. Online learning, once considered an experimental and emergency tool, is increasingly becoming a standard practice integrated into teaching delivery systems. This article examines the impact that blended learning has on the host city and how it is perceived and experienced by the key stakeholders. Focusing on two degree courses that employ a blended learning model, the article proposes a survey for teachers and students to investigate the problems and advantages of blended courses. In both groups, there is no consensus of opinion or a clear trend on any issue. This fragmentation of responses should be understood as stemming from the individual motivations, unique characteristics, and personal experiences of each participant, intertwined with their university careers. It also reflects the level of adaptation to blended teaching achieved by each individual. It becomes clear that blended teaching encompasses all the challenges of online teaching but also expands access to university education and offers the possibility of exploring the educational potential offered by technology. Blended learning encourages students to be more independent and to develop their capacity for self-directed learning, though not all students are prepared for this shift. For teachers, blended learning also demands a methodological shift, differentiating between online and in-person lessons. However, while challenges remain, the progress made so far appears promising for the future. To ensure continued success, it is essential to focus on improving internet access, strengthening students’ self-learning abilities, and simultaneously enhancing teachers’ competencies in using digital tools and facilitating remote teaching.

Comparing readiness for self-directed learning in undergraduates of private and public medical colleges.

To measure the readiness for self-directed learning among medical undergraduates of private and public medical colleges, and to evaluate their performance and strategies. The cross-sectional study was conducted in Lahore, Pakistan from February to July 2023, and comprised medical undergraduate students of either gender from 1 private and 1 public academic institution. Data was collected using a prevalidated structured questionnaire having self-management, desire for learning, and self-control domains to explore self-directed learning readiness. Data was analysed using SPSS 26. Of the 330 subjects, 166(50.3%) were females and 164(49.7%) males, while 166(50.3%) were from the private institution and 164(49.7%) were from the public institution. There were 183(55.4%) students in the 3rd year, 89(27.0%) in the 4th year and 58(17.6%) in the final year of their coursework. Self-directed learning readiness was significantly higher in students from the private institution (p<0.05). There was a significant correlation between self-directed learning readiness in private and public medical education institutions, with readiness being higher in the private sector.

Student perspectives on the flipped classroom concept in secondary math lessons

The flipped classroom concept is the reversal of the traditional teaching activities so that new content is first worked through by the learners independently and then the joint lesson time is used to practise and consolidate this content. This concept can result in didactic advantages. However, it is assumed that the concept also places increased demands on learners. As part of an intervention study with 452 participants in 15 lower secondary schools in Lower Saxony (Germany), pupils were given a questionnaire including the following items “I like this in the flipped classroom” and “I don’t like this in the flipped classroom”. This article analyses the answers to those questions using a qualitative content analysis. The resulting categories are analysed in more detail in a thematic analysis to identify specific aspects of the flipped classroom that the learners like or dislike. The preparation through videos, self-directed learning and adaptability of the learning speed were named particularly frequently in the positively connoted categories. The negative aspects included comprehension problems, the desire for more explanations from the teachers, time pressure, and time management problems. These results contrast with previous research results on the flipped classroom concept in higher education didactics.

Evaluating self-directed learning competencies in digital learning environments: A meta-analysis

Evaluating self-directed learning competencies in digital learning environments: A meta-analysis

대학 비교과 프로그램 특성에 따른 학생 학습경험 분석: 경북 소재 대학의 비교과 프로그램에 대한 분석을 중심으로

Objectives This study conducted keyword network analysis to examine student experiences based on the characteristics of extracurricular programs at universities. The aim is to understand how these programs impact students' learning experiences. Methods Keyword network analysis was used based on keywords extracted from various survey contents. The NodeXL program was used to visualize the main keywords and their relationships for each type of extracurricular program (mentoring, tutoring, experiential). Results In mentoring programs, keywords such as ‘feedback’, ‘support’, and ‘adaptation’ were central, indicating that students enhance their self-directed learning and communication skills. In tutoring programs, keywords like ‘exam preparation’, ‘study strategies’, and ‘grade improvement’ were prominent, showing that students focus on academic achievement. In experiential programs, keywords such as ‘practice’, ‘experience’, and ‘projects’ stood out, highlighting a focus on practical learning. Conclusions The keyword network analysis revealed that students' learning experiences vary according to the characteristics of the extracurricular programs. These findings provide important insights for universities to design and operate extracurricular programs that meet the diverse learning needs of students.

문제중심학습 교육이 간호대학생의 문제해결능력, 자기주도 학습능력, 임상추론역량에 미치는 효과

Objectives The purpose of this study was to determine the effect of problem-based learning education on problem-solving ability, self-directed learning ability, and clinical reasoning competency of nursing students. Methods The research design is a quasi-experimental study with a single-group before/after design. A preliminary survey was conducted on April 3 and 4, 2024, targeting 55 fourth-year nursing students, and a follow-up survey was conducted on April 24 and 25. Data analysis included descriptive statistics, paired t-test, and Pearson correlation analysis using the SPSS Statistics 22.0 program. Results After problem-based learning education, nursing students' problem-solving ability(t=-5.91, p&lt;.001), self-directed learning ability(t=-6.02, p&lt;.001), and clinical reasoning ability(t=-7.39, p&lt;.001) was statistically significantly improved. Conclusions Through this study, it was confirmed that problem-based learning is an effective teaching and learning method in improving nursing students' problem-solving ability, self-directed learning ability, and clinical reasoning competency. Therefore, efforts should be made to strengthen the capabilities of nursing students by expanding subjects that apply problem-based learning in nursing education.

초등학생의 학습 동기와 학습 의지의 관계

Objectives The purpose of this study is to explore the relationship between elementary school students' learning motivation and learning volition. Specifically, by analyzing the impact of learning motivation on learning volition, we identified the role of learning motivation as a strategy to enhance elementary students' learning volition. Additionally, we provided concrete recommendations divided into teacher, school, and parent levels. Methods To investigate the relationship between learning motivation and learning volition, 216 elementary school students were surveyed to measure these variables. Correlation analysis and regression analysis were conducted to analyze the impact of learning motivation on learning volition. Results The results of the regression analysis indicated that learning motivation has a significant effect on learning volition. In particular, among the sub-dimensions of learning motivation, achievement motivation and self-efficacy positively influenced the sub-dimensions of learning volition, which include behavioral control, learning effort, and learning perseverance. It was confirmed that the higher the learning motivation, the higher the learning volition. Conclusions This study suggests that enhancing learning motivation is important for improving elementary school students' learning volition. Specifically, teachers should provide personalized learning and emotional support to boost students' learning motivation and self-efficacy, and schools should establish support systems for customized educational programs and teacher capacity building to back this up. Parents should create an environment that enhances their children's learning motivation and supports self-directed learning. Through these efforts, concrete strategies to enhance students' learning volition should be sought.

한국어판 간호대학생의 자기주도학습 준비도 도구의 타당도 및 신뢰도 분석

Objectives The purpose of this study was to verify the validity and reliability of the self-directed learning readiness scale of Korean language for nursing educations. Methods Through translation and back-translation processes, the K-SDLRSNE was constructed. The subjects randomly represented 371 nursing students located in B and G metropolitan cities, and exploratory factor analysis and confirmatory factor analysis were conducted. SPSS Statistics 26.0 and AMOS 26.0 programs were used for data analysis. This tool confirmed the construct validity through exploratory factor analysis and confirmatory factor analysis, and secured reliability through internal consistency reliability. Results As a result of the study, five factors (self-management, responsibility for learning in general, learning enthusiasm, curiosity, self-control), and 24 questions were finally classified. Five sub-factors were validated by confirmatory factor analysis (CFI=.88, GFI=.86, IFI=.88, RMSEA=.07), the reliability was Cronbach's α=.92 and the explanatory power was 61.81%. Conclusions K-SDLRSNE confirmed that content validity, composition validity, convergence and discriminant validity, and internal consistency reliability were verified and applied as a tool to closely measure nursing students' self-directed learning readiness in Korea. Therefore, this tool could be an appropriate tool for measuring the self-directed learning readiness of Korean nursing students.

Mediating Effects of Students’ Study Time on ICT Resource Availability, Teacher Competence and Academic Performance in Programming Languages

This study investigated the mediating role of students' study time in the relationships between the availability of ICT (information and communication technology) resources, teacher competence, and academic performance in programming language courses. The researchers used a sample of 287 undergraduate students and employed structural equation modeling (SEM) to analyze the hypothesized mediating effects. The findings showed that both ICT resource availability and teacher competence had positive and significant indirect effects on academic performance, which were partially mediated by the amount of time students spent studying. Specifically, the indirect effect of ICT resource availability on academic performance through study time was 0.159 (p &lt; 0.001), and the indirect effect of teacher competence on academic performance through study time was 0.195 (p &lt; 0.001). These results suggest that while ICT resources and teacher competence directly contribute to improved academic performance in programming languages, they also indirectly influence performance by promoting increased study time among students. The mediating role of study time highlights the importance of creating an environment that supports and encourages students to engage in self-directed learning activities, in addition to providing adequate technological resources and competent teaching. The findings have important implications for educational practitioners and policymakers, as they emphasize the need to adopt a holistic approach to enhancing student learning outcomes in programming courses by understanding the complex interplay between various factors and their indirect effects.

Comparing Scoring Consistency of Large Language Models with Faculty for Formative Assessments in Medical Education.

The Liaison Committee on Medical Education requires that medical students receive individualized feedback on their self-directed learning skills. Pre-clinical students are asked to complete multiple spaced critical appraisal assignments. However, the individual feedback requires significant faculty time. As large language models (LLMs) can score and generate feedback, we explored their use in grading formative assessments through validity and feasibility lenses. To explore the consistency and feasibility of using an LLM to assess and provide feedback for formative assessments in undergraduate medical education. This was a cross-sectional study of pre-clinical students' critical appraisal assignments at University of Illinois College of Medicine (UICOM) during the 2022-2023 academic year. An initial sample of ten assignments was used to develop a prompt. For each student entry, the de-identified assignment and prompt were provided to ChatGPT 3.5, and its scoring was compared to the existing faculty grade. Differences in scoring of individual items between ChatGPT and faculty were assessed. Scoring consistency using inter-rater reliability (IRR) was calculated as percent exact agreement. Chi-squared test was used to determine if there were significant differences in scores. Psychometric characteristics including internal-consistency reliability, area under precision-recall curve (AUCPR), and cost were studied. In this cross-sectional study, 111 pre-clinical students' faculty graded assignments were compared with that of ChatGPT and the scoring of individual items was comparable. The overall agreement between ChatGPT and faculty was 67% (OR = 2.53, P < 0.001); mean AUCPR was 0.69 (range 0.61-0.76). Internal-consistency reliability of ChatGPT was 0.64 and its use resulted in a fivefold reduction in faculty time, and potential savings of 150 faculty hours. This study of psychometric characteristics of ChatGPT demonstrates the potential role for LLMs to assist faculty in assessing and providing feedback for formative assignments.

THE INFLUENCE OF MANAGERIAL TEAM E-PROJECTS ON STUDENTS’ INDEPENDENT ATTITUDES

This study aims to evaluate the impact of the E-Project Managerial Team on fostering independence among Biology Education students at Universitas Jambi Faculty of Teacher Training and Education. The research investigates how managerial technology influences students' ability to manage tasks autonomously in an academic setting. Using a mixed-methods approach with an exploratory sequential design, the study combines quantitative data from questionnaires with qualitative insights. A random sampling method was applied to select participants from 143 students. Data analysis was conducted using IBM SPSS 24, employing descriptive statistics, normality, linearity, and regression tests to interpret the relationships between variables. The normality test returned a significance value of 0.614, while the linearity test showed a value of 0.482, confirming the appropriate distribution and relationships of the data. Results from the regression analysis (F value of 36.487, p = 0.001) revealed a statistically significant positive influence of the E-Project Managerial Team on students' independence. Descriptive analysis also indicated that while some students held neutral views, a considerable portion acknowledged improvements in their self-management and autonomy due to the team's involvement. This research uniquely integrates managerial technology with biology education, highlighting how digital project management tools can enhance student independence. It contributes to the growing literature on educational technology by offering innovative methods for promoting autonomy, time management, and individual skill development among students. This work provides practical insights for educators seeking to implement technological solutions to support self-directed learning.

ChatGPT as a tool for self-directed foreign language learning

ABSTRACT Purpose This study explores the use of ChatGPT for self-directed foreign language (FL) learning in out-of-class settings. It examines how learners use the artificial intelligence (AI) chatbot for self-directed FL learning and analyzes language learners' perceptions of its use. The study also investigates if the participants' views of ChatGPT differed depending on the age group and languages studied. Methodology The study adopted a mixed methods approach. Survey data were collected from online communities on social media. In total, 101 adult participants fully completed the survey. The quantitative data were analyzed using descriptive and inferential statistics while the qualitative data were analyzed using content analysis. Findings The FL learners reported using the AI chatbot in various ways, including for conversation practice and vocabulary learning. Although the participants had positive attitudes toward ChatGPT's ease of use and accessibility, they were skeptical of the AI chatbot's reliability as a language-learning resource. According to inferential statistics, the respondents' views of ChatGPT differed significantly depending on the age group and languages studied. Originality/value This study offers valuable insight into the ways the AI chatbot could be used for FL learning and how the variables of age and languages studied may affect learners' experiences.

TRANSFORMATIVE PEDAGOGY IN THE DIGITAL AGE: UNRAVELING THE IMPACT OF ARTIFICIAL INTELLIGENCE ON HIGHER EDUCATION STUDENTS

Artificial Intelligence (AI) has become a transformative force in education, significantly influencing students. This research explores AI's impact on learning experiences, academic performance, career guidance, motivation, self-reliance, social interaction, and AI dependency. Utilizing a descriptive-comparative design, 194 student respondents were chosen through stratified sampling. The results show that students generally perceive AI positively. Students agree that AI enhances personalized learning, engagement, and critical thinking, although practical hands-on learning experiences received less favorable feedback. Academically, students concur that AI helps them identify weaknesses, improve assignments, and track progress, despite some reservations about its efficacy in exam preparation. For career guidance, students agree that AI effectively matches skills with career options, recommends internships, and provides resources, though it is less effective for long-term planning. Students also believe AI boosts motivation through gamified learning and progress tracking and fosters self-reliance via self-directed learning and critical thinking support. Socially, students agree that AI facilitates collaboration, peer learning, and networking. Additionally, students demonstrate a reliance on AI for their learning processes. Notably, female students report a more significant impact on social interactions than male students. The type of device used (laptop vs. cellphone) significantly affects the learning experience, with laptop users reporting a more substantial impact. Differences in AI's impact are noted among various courses, particularly benefiting education students more than those in hospitality management and agriculture. However, age and family income do not significantly influence AI's overall impact. Keywords: Artificial Intelligence, descriptive-comparative, impact on learning, higher education

FLIPPED CLASSROOM IN SCIENCE EDUCATION: CORRELATING STUDENT EXPERIENCE WITH ATTITUDES

Despite the growing adoption of the Flipped Classroom (FC) model in higher education, there is limited exploration of its impact on secondary education and students' attitudes toward science. Thus, this study aimed to examine the correlation between secondary school students' perceptions of the Flipped Classroom experience in learning science and their attitudes towards the subject. The research focused on five perception constructs: Collaborative Environment, Self-Directed Learning, Learning Impact, Motivation and Enjoyment, and Technology Integration. Students' attitudes towards science were measured across five constructs: Importance of Science, Practical Work in Science, Learning Science in School, Science Outside School, and Future Participation in Science. The study utilized a quantitative survey methodology, collecting data from a sample of 100 Form Four students at School A, Sabah, Malaysia as of the year 2024. Through the analysis of the survey, the study found a significant positive correlation between students' positive perceptions of the FC experience and their attitudes towards science. Notably, high ratings for ‘Motivation and Enjoyment’ indicated enhanced student engagement, while lower ratings for ‘Technology Integration’ highlighted areas needing improvement. The findings underscore the potential of the FC to positively influence students' attitudes towards science. This research implies that educators should seek ways to enhance student engagement and foster a positive attitude towards science through innovative teaching methods such as Flipped Classroom. Keywords: attitude towards science, Flipped Classroom (FC), perceptions of the FC experience, science education, secondary education

MOTIVATION AND SELF-REGULATION OF LEARNING IN HOMESCHOOLED STUDENTS

In the context of education, motivation and self-regulation of learning are dominant issues. The degree of intrinsic and extrinsic motivation to learn is related to students’ academic achievement and literacy development. This study aimed to research the regulatory styles and motivation to learn among homeschooled students, with a particular focus on those who practice unschooling, a form of self-directed learning. A quantitative research strategy was employed, and data were collected using the standardised SQR-Academic questionnaire adapted for the homeschooling context. The questionnaire was completed by 143 homeschooled children (4th to 9th grade), of whom 10.88% reported engaging in unschooling or self-directed learning. The results indicated that identified regulation was prevalent among homeschooled students, who tended to exhibit intrinsic rather than extrinsic motivation. This contrasts with full-time attending students, who generally display a more external regulation style. Among unschoolers, identified regulation was equally prevalent, but the Relative Autonomy Index (RAI) values were higher, indicating a stronger inclination towards intrinsic motivation. Despite these differences in RAI between unschoolers and other homeschoolers, the differences were not statistically significant. The findings are consistent with relevant research from other countries. Future research should explore the factors that influence the degree of intrinsic and extrinsic motivation in homeschooled students. Keywords: homeschooled students, intrinsic motivation, lower secondary education students, primary education students, regulation of learning, unschooled students

Registered Nurses' Attitudes Towards ChatGPT and Self-Directed Learning: A Cross-Sectional Study.

Self-directed, lifelong learning is essential for nurses' competence in complex healthcare environments, which are characterised by rapid advancements in medicine and technology and nursing shortages. Previous studies have demonstrated that ChatGPT technology fosters self-directed learning by motivating users to engage with it. To explore the relationships amongst socio-demographic data, attitudes towards ChatGPT use, and self-directed learning amongst registered nurses in Taiwan. A cross-sectional study design with an online survey was adopted. Registered nurses from various healthcare settings were recruited through Facebook and LINE, a widely used messaging application in East Asia, reaching over 1000 nurses across five distinct online groups. An online survey was used to collect data, including socio-demographic characteristics, attitudes towards ChatGPT use, and a self-directed learning scale. Data were analysed using descriptive statistical methods, t-tests, Pearson's correlation, one-way analysis of variance, and multiple linear regression analysis. Amongst the 330 participants, 50.6% worked in hospitals, 51.8% had more than 15 years of work experience, and 78.2% did not hold supervisory positions. Of the participants, 46.7% had used ChatGPT. For all nurses, work experience and awareness of ChatGPT statistically significantly predicted self-directed learning, explaining 32.0% of the variance. For those familiar with ChatGPT, work experience in nursing and the technological/social influence of ChatGPT statistically significantly predicted self-directed learning, explaining 35.3% of the variance. Work experience in nursing provides critical opportunities for professional development and training. Therefore, ChatGPT-supported self-directed learning should be customised for degrees of experience to optimise continuous education. This study explores nurses' diverse use of and attitudes towards ChatGPT for self-directed learning. It suggests that administrators customise support and training when incorporating ChatGPT into professional development, accounting for nurses' varied experiences to enhance learning outcomes. No patient or public contribution. This study adhered to the relevant cross-sectional STROBE guidelines.

The relationship between virtual simulation, critical thinking, and self-directed learning abilities of nursing students in Riyadh, Saudi Arabia.

The use of virtual simulation in nursing education is an effective approach for improving nursing critical thinking and self-learning abilities, but the previous studies were limited to providing the required evidence that supports the association. This study aimed to assess the relationship between virtual simulation and critical thinking disposition and self-directed learning abilities among nursing students. This is a descriptive correlational, non-experimental study. It was conducted among 201 third- and fourth-year nursing students at the Academic Institution, Saudi Arabia. A non-probability convenience sampling technique was used to select the participants; then, an online, adapted questionnaire was sent to the participants, the data from which was analyzed by SPSS. The study findings showed that virtual simulation benefited nursing students. Most participants (56%) agreed that it helped them to think critically, and approximately 27% strongly agreed. It also enhanced their self-directed learning abilities, and the majority of the students agreed that they often review the way nursing practice is conducted. Furthermore, the results showed a significant, positive relationship between virtual simulation and the critical thinking disposition of nursing students (p-value = 0.03; correlation coefficient = 0.65), a strong positive relationship with self-directed learning abilities of nursing students (p-value = 0.004; correlation coefficient = 0.78), and a strong positive relationship between critical thinking disposition with self-directed learning abilities of nursing students (p-value = 0.01; correlation coefficient = 0.72). There are significant relationships between virtual simulation and the critical thinking disposition and self-directed learning abilities of nursing students. Furthermore, virtual simulation made the students practice critical thinking and self-learning, so, they simulate events and try to seek out and solve the problems.

Enhancing self-directed learning with custom GPT AI facilitation among medical students: A randomized controlled trial

ABASTRACT Objective This study aims to assess the impact of LearnGuide, a specialized ChatGPT tool designed to support self-directed learning among medical students. Materials and methods In this 14-week randomized controlled trial (ClinicalTrials.gov NCT06276049), 103 medical students were assigned to either an intervention group, which received 12 weeks of problem-based training with LearnGuide support, or a control group, which received identical training without AI assistance. Primary and secondary outcomes, including Self-Directed Learning Scale scores at 6 and 12 weeks, Cornell Critical Thinking Test Level Z scores, and Global Flow Scores, were evaluated with a 14-week follow-up. Mann-Whitney U tests were used for statistical comparisons between the groups. Results At 6 weeks, the intervention group showed a marginally higher median Self-Directed Learning Scale score, which further improved by 12 weeks (4.15 [95% CI, 0.82 to 7.48]; p = 0.01) and was sustained at the 14-week follow-up. Additionally, this group demonstrated notable improvements in the Cornell Critical Thinking Test Score at 12 weeks (7.11 [95% CI, 4.50 to 9.72]; p < 0.001), which persisted into the 14-week follow-up. The group also experienced enhancements in the Global Flow Score from 6 weeks, maintaining superiority over the control group through 12 weeks. Conclusions LearnGuide significantly enhanced self-directed learning, critical thinking, and flow experiences in medical students, highlighting the crucial role of AI tools in advancing medical education.

Development and Implementation of a Family Presence Facilitator Curriculum for Interprofessional Use in Pediatric Medical Resuscitations.

Family presence during pediatric medical resuscitation has myriad benefits. However, there is significant heterogeneity in provider acceptance and implementation of the family support role. We designed this curriculum to teach all members of the health care team best practices in the Family Presence Facilitator (FPF) role during pediatric medical resuscitations. We applied Kern's six-step approach to develop an FPF curriculum comprising didactic and interactive elements, along with training for simulated participants. We implemented the curriculum through (a) live sessions (30-minute didactic or 90-minute workshop) for learners; (b) a 20-minute asynchronous version of the didactic curriculum for self-directed learning; and (c) a 1-hour, monthly, in situ simulation curriculum in a pediatric emergency department setting. Curriculum evaluation surveys queried self-reported engagement, satisfaction, relevance, confidence, commitment, knowledge, skills, and attitudes in a retrospective pre/post format. We collected data from 153 learners, including attendings, fellows, residents, advanced practice providers, medical students, and child life specialists, between October 2022 and September 2023. Only 22% of participants had received similar prior training. One hundred percent of learners found the curriculum enjoyable and engaging; learners also agreed the curriculum improved their knowledge and skills in providing empathetic and respectful communication (99%); nonspeculative, clear information (100%); and nonverbal support (99%). Of respondents, 100% believed the curriculum would improve the patient care experience. Facilitating family presence during pediatric medical resuscitations is a crucial skill. Our curriculum improves self-reported confidence, knowledge, and skills among interprofessional learners. Next steps include expanding this curriculum beyond the pediatric setting.

The Role of Generative Learning Strategy in Bridging the Gap between High and Low Achievers in Genetics Studies in Sefwi-Wiawso Municipality, Ghana

The study sought to investigate the use of the Generative Learning Strategy (GLS) in bridging the performance gap between high- and low-achieving students in genetics in Ghana's Western North region's capital, Sefwi-Wiawso Municipality. The study adopted an embedded research design involving the quasi-experimental pretest/posttest groups with a sample size of 106 SHS 3 Biology students. Two intact classes were randomly selected, treated as one group and exposed to the same treatment conditions. The Genetic Concepts Test and a semi-structured interview guide collected the quantitative and qualitative data, respectively. The GCT's internal consistency was 0.784, indicating a preferable internal consistency. The quantitative data was analyzed using the SPSS version 26, by employing descriptive and inferential statistics. The study found no significant performance difference between high and low achievers after using the GLS. The approach improved the lower achievers’ performance. The interview results revealed that Senior High School Biology students perceived that the Generative Learning Strategy improved the understanding, motivation, retention and self-directed learning of genetic concepts, thereby enhancing their learning outcomes. The study recommended that SHS Biology teachers employ the Generative Learning Strategy in teaching genetic concepts to bridge the performance gap between high and low achievers.