Blackboard Learning Management System Research Articles

Blackboard Learning Management System - An Artificial Intelligence Approach: Challenges and Prospects in Nursing Education

The Blackboard learning management system (Bb-LMS) is integrated into the nursing educational system to effectively respond to the increasing development of technology in society. The Bb-LMS as an artificial intelligence (AI) approach continuously improves the teaching-learning process of the nursing educational system. Nursing colleges and universities design programs with the assistance of AI tools. Positive perception and impact on the use of Bb-LMS are documented by several authors. Recent studies documented a few challenges of using Bb-LMS including the provision of appropriate training regarding e-learning and the Blackboard system, occasional time delay and audio issues, and the students do not prefer Blackboard in practical nursing subjects. Nonetheless, the predicted influence of the Bb-LMS as an artificial intelligence approach can transform nursing education across all domains of nursing education and practice. The Bb-LMS facilitates university teachers and nursing educators in managing their courses and communicating with their students effectively. Research on artificial intelligence and nursing stressed that the future of artificial intelligence in education envisions preceptors and robots cooperating to produce scholars with fashionable outcomes. Hands-on training and workshops should be conducted for both students and teachers to address the challenges of using the learning management system in nursing education. Future research should consider examining the integration of Bb-LMS in nursing curricular reforms to make nursing education more meaningful and effective. Keywords: Blackboard learning management system, artificial intelligence, nursing education, opportunities in nursing education, prospects in nursing education.

An integrated model exploring the relationship between self-efficacy, technology integration via Blackboard, English proficiency, and Saudi EFL students’ academic achievement

The proliferation of technology in educational settings and its impact on learning outcomes has become a focal point in educational research. In language education, the interplay among technological tools, learner self-efficacy, and language proficiency is critical for academic success. This study aims to shed light on these dynamics by presenting a comprehensive structural model that elucidates the relationships and causal effects among students’ academic achievement, English proficiency, self-efficacy, and the utilization of instructional technology while focusing on the Blackboard learning management system. Employing a quantitative correlational design, this study used three questionnaires to measure the primary variables. The study sample included 590 university students from two universities purposively selected using random stratified sampling to ensure representativeness. Statistical analyses—including descriptive statistics, correlation coefficients, and structural equation modeling (path analysis)—were employed to investigate the data. The emergent model demonstrated a perfect fit to the sample data, exhibiting robust goodness-of-fit indicators. The findings highlight the direct positive influence of self-efficacy on academic achievement and the beneficial effects of Blackboard integration on English proficiency and academic success. These insights emphasize the importance of self-efficacy in educational achievement and the pivotal role of e-learning platforms in enhancing students’ motivation and linguistic skills. The implications of these results are profound, suggesting avenues for future research to examine the applicability of the structural model across diverse educational contexts and incorporate additional variables for a more granular understanding of the factors driving academic achievement in technology-enhanced learning environments.

A Deep Learning Model Using CNN & LSTM to Forecast Student Learning Outcomes in Learning Management System

The administration, monitoring, and reporting of educational activities are being done more and more with Learning Management Systems (LMSs). Blackboard is one such extensively utilized LMS at universities all over the world. This is because it may be used to match learning material pieces, student-teacher and student-student interactions, and assessment activities to predetermined objectives and student learning outcomes. This study aimed to determine the predictive power of various KPIs obtained from students' Blackboard interactions in order to forecast students' learning outcomes. Deep learning algorithms to forecast academic achievement were looked at as part of a mixed-methods study design. The degree of linear relationship between these factors and measures of student performance was ascertained by correlational tests. Out of the four models that were assessed, the CNN-LSTM predictive model proved to be the most effective because it combined long short-term memory with convolutional neural networks. The primary inference made from this data is that the CNN-LSTM technique might result in solutions that maximize and enhance how universities use the Blackboard LMS.

Tele-orthodontics education model for orthodontic residents: A preliminary study.

Tele-orthodontics is an important medium to use for diagnosis and treatment planning and to refer patients for specific treatment when deemed necessary. The effectiveness of the Tele-orthodontics Education Model serves to improve resident's knowledge, confidence, and skills in delivering tele-orthodontic patient care. The purpose of this educational single-arm pre-test-post-test interventional study was to assess and educate orthodontic residents (6 year-one, and 6 year-two) to appropriately use tele-orthodontics. The Tele-orthodontics Education Model utilizes three learning modules, a questionnaire before and after the training to assess participant knowledge, confidence and skills levels, three online multiple-choice questionnaires, three explanatory videos and an in-person simulation session. The Blackboard Learning Management System (virtual learning platform) facilitates access to the various modules of the program. Within each learning module, a participant's knowledge level was determined by utilizing five multiple-choice questions before and after each module. The various modules were introduced to the participants and then evaluated by reviewing the participant's responses to the multiple-choice questions. Twelve orthodontic residents completed the model in one session. Everyone fully completed the questionnaire. Post-test results showed higher mean scores for all questions addresses knowledge, the mean confidence, and skills score for post-test showed no change when compared to pre-test. This education model was effective in improving basic knowledge in tele-orthodontics among first, and second-year orthodontic residents. We hypothesize that the residents are more informed and prepared for future tele-orthodontic practices.

Pre-service Teachers’ Use and Usefulness of Blackboard Learning Management Systems for Self-Regulated Learning

Although BLB has many applications students use, it is not clear which applications are used most and perceived most useful for Self-Regulated Learning (SRL). The objective of this research is to establish applications pre-service teachers use most and perceive as most useful for SRL. The study used a cross-sectional survey design with 120 technology education undergraduate pre-service teachers. A questionnaire was distributed during the Technology Education period and collected after 45 minutes. Principal Component Analysis (PCA) determined the most BLB applications and their perceived usefulness, while a t-test examined male and female differences in the use and usefulness of BLB applications for SRL. Both tests were done using SPSS version 22. The major result shows half of all BLB applications perceived as useful were the ones used most and had positive associations. Three out of eight accounted for 95.69% of the use, while four applications accounted for 73.33% variances in usefulness. Component loadings 1-3 for BLB use variance were: subject content 80.9%, assessment 11.2%, and 3.55%, while usefulness components 1-4 variance were: subject content 26.7%, assessment 17.9%, class task 16.1%, and grade centre 12.6%. There were differences between gender in the use and usefulness of BLB applications, with males taking the lead in both. Thus, this study extends the debate on the gender gap in technology use in higher education.

Enhancing technical vocabulary acquisition: a multimedia strategic approach for English for specific purposes during COVID-19

ABSTRACT This study focuses on developing specific vocabulary learning strategies to assist the receptive knowledge of English for Specific Purposes (ESP). It aims to provide a practical framework for teaching technical vocabulary. The study introduced the Multimedia Strategic Vocabulary Learning (MSVL) model and investigated its effects on teaching technical vocabulary to pre-engineering students in online courses during the early wave of COVID-19. A total of 88 Saudi undergraduate students randomly assigned to control and experimental groups were treated with an intact pre-engineering ESP course for ten weeks. Vocabulary learning strategies from Schmitt's (1997) vocabulary taxonomy were adopted and incorporated into two stages of the vocabulary acquisition process. The experimental group was treated with the MSVL model through multimedia and explicit vocabulary learning instructions in online classes using Blackboard Learning Management System (LMS) to assist them with specialized vocabulary acquisition. The dependent measure in this study was the participants’ receptive knowledge of technical vocabulary, which was assessed using the pre-test, post-test, and delayed post-test. The findings indicated that using the MSVL model significantly improved the experimental group's receptive knowledge of technical vocabulary. This study's guidelines help educators create multimedia resources for ESP learners, preparing them for their professions.

Investigating EFL Instructors’ Perceptions of using Blackboard in TEFL at IAU Preparatory Year

This study set out to explore the perceptions of teachers of English as a foreign language (EFL) about the use of the Blackboard learning management system (LMS) in the preparatory year at Imam Abdulrahman bin Faisal University (IAU), Saudi Arabia. The useful Blackboard features that are not customarily exploited by EFL instructors, and the solutions EFL instructors suggested to solve the problems they countered during their EFL classes were also covered. The perceptions of the 63 EFL instructors about using Blackboard in teaching English as a foreign language (TEFL) teaching were collected by means of a survey. A mixed-methods sequential explanatory design was used for collating, analyzing, and consecutively integrating data. The findings revealed that the attitudes of teachers towards using Blackboard were significantly positive. Nevertheless, they disclosed that several effective Blackboard features are not explored for the benefit of teachers such as the electronic library, the evaluation system, the teachers’ forum, and the group conferencing. The results recommended that teachers should be provided with intensive training on all the Blackboard features to increase its efficacy in teaching. Finally, some recommendations were offered to maximize the usage of this tool in compliance with recent research findings and instructors’ proposals.

Standard Measuring of E-Learning to Assess the Quality Level of E-Learning Outcomes: Saudi Electronic University Case Study

Education in multiple forms and diverse geographical contexts delivers quality in all aspects of learning in which stakeholders such as students, instructors, and educational institutions play an important role. Quality assurance in higher education ensures the smooth functioning of the teaching and learning process by supporting the attainment of the desired quality levels of learning outcomes. This further leads to educational sustainability, as education has been acknowledged as a strategic constituent of sustainability-focused strategies in many educational contexts. Hence, it has become very important for educational institutions to maintain quality standards through the implementation of appropriate strategies, as quality is the lifeline of both Traditional Learning and E-Learning, and a lack of a suitable assessment standard affects the quality of learning. This research study attempts to address the existing gaps observed following a review of the related literature. This study collected qualitative data using an observation method through the observations and review of online software used at the Saudi Electronic University, namely Blackboard Learning Management System (LMS), Tawkeed Quality Management E-System, and Blue Survey software. In addition to this, the expertise of the research team members was also utilized for this research study in designing E-Learning quality dimensions. The purpose of this study was to propose an E-Learning Quality Assessment Standard that will help third-level educational institutions to assess their current teaching and learning practices of E-Learning and support them in enhancing the overall students’ experiences toward E-Learning within their institutions. As a research outcome, a conceptual quality assessment standard titled “SPECIFIERS” was proposed to offer a helping hand during the E-Learning quality assessment process to ensure sustainable education development of global educational institutions.

Impact of LMS-mediated readiness assurance testing on performance in pharmacy calculations

ObjectiveReadiness assurance testing has enjoyed increased use as a tool for the delivery and reinforcement of pharmacy concepts. This study was conducted to determine the influence of the readiness assurance test (RAT) on major examination outcomes in pharmacy calculations.MethodsThe Blackboard Learning Management System was identified as an efficient platform for RAT implementation. The outcomes of three consecutive offerings of pharmacy calculations were compared. Cohorts 1 and 2 were exposed to recitation and standard assessments in lecture and laboratory sessions. Cohort 3 was additionally administered weekly individual (IRAT) and team (TRAT) readiness assurance tests for concept areas. All cohorts were exposed to a common comprehensive final exam.ResultsSignificant differences were observed in major lecture exam scores among cohorts. Cohort 3’s mean final exam score was significantly greater than that of Cohort 1, which received the most conventional method of subject delivery. Students feedback was generally positive regarding use of RAT.ConclusionsUse of RAT assessment was positively associated with final exam score outcomes in pharmacy calculations, including a positive shift in final exam score distribution in Cohort 3. Use of RAT promotes increased student exposure to conceptual material and instruction in pharmacy calculations.

Asynchronous Discussions to Enhance Online Communities of Inquiry in the Saudi Higher ‎Education Context

This paper aimed to examine the efficiency of web-based asynchronous discussions in establishing and sustaining online collaborative learning communities in the Saudi higher educational context, by adopting the Community of Inquiry (Garrison et al., 1999) framework as a guiding model. The implementation involved setting up online asynchronous discussions in the Blackboard Learning Management System for a fourth-year undergraduate Education course over 20 days. By using a mixed methodology approach, the results revealed that within the Saudi university context, social presence patterns changed over time, with an overall increase in their levels. This increase attributed to three main factors: the instructors’ effective participation; peers’ active contribution; and the student’s desire to receive higher marks. However, the levels of students’ cognitive presence did not show adequate growth, which is assigned mainly to an inadequate teaching presence. The study also explored the relationships between the three factors and concluded that in order for students to achieve their goals via online learning communities, time is an important consideration.

Examining Students’ Readiness toward Using Learning Management System at University of Ha’il: A Structural Equation Modelling Approach

During the past two decades, many universities around the world have deployed various types of learning management systems (LMSs) to manage the learning and teaching process electronically. The rapid spread of the coronavirus disease at the start of the COVID-19 pandemic quickened educational systems’ shifting from face-to-face to online instruction. Blackboard is the most used LMS during this transition in Saudi Arabian universities, institutions, and higher education institutions. Although previous research has widely investigated students’ adoption of Blackboard, few studies have examined the factors affecting their readiness toward e-learning. The present study used the model of Student Online Learning Readiness (SOLR) as the primary framework for examining the factors that may affect students’ readiness toward using Blackboard. A survey was delivered to undergraduate and postgraduate students at the University of Ha’il to collect data, and a total of 196 responses were received. A two-step process in AMOS was applied to analyse the data. The study findings showed that technical, social, and communication competencies had a significant positive influence on the readiness of students toward using Blackboard LMS. The study outcomes will provide educators, designers, decision-makers, and practitioners with a deeper understanding of the factors that could influence students’ readiness toward using Blackboard and, thus, enhance the successful usage of the system.

Correlation of Self-regulated Learning on Blackboard and Academic Achievement of Islamic Studies Students

Focusing on learners’ active roles has brought Self-regulated Learning (SRL) to attention. Since its introduction in the mid-eighties, research has discussed several models and conceptual frameworks pertaining to SRL. Yet, more studies are required to explain how students achieve SRL and how it associates with academic achievement. Additionally, the potential of modern learning tools such as the Blackboard Learning Management System LMS and their role in promoting SRL are highly valued. To this end, the current study adopted a 27-item questionnaire based on different SRL models. It surveyed a sample of 165 students regarding their use of SRL strategies while they were engaged in online courses through Blackboard. The correlation between students’ use of such strategies and their academic achievement was ultimately calculated. It was found that students with higher academic performance apply a broader range of SRL strategies. Also, a variance can be seen in the type of strategies used. These findings are traced back to the features afforded by Blackboard, which result in SRL if they are appropriately deployed. Accordingly, teachers are called to utilise LMSs to promote SRL strategies and train their students in their use. These results are considered significant as most previous research has focused on the SRL concept rather than its effect on academic achievement. However, further empirical research on LMS features and their impact on developing SRL is recommended.

Using Artificial Intelligence to Predict Students’ Academic Performance in Blended Learning

University electronic learning (e-learning) has witnessed phenomenal growth, especially in 2020, due to the COVID-19 pandemic. This type of education is significant because it ensures that all students receive the required learning. The statistical evaluations are limited in providing good predictions of the university’s e-learning quality. That is forcing many universities to go to online and blended learning environments. This paper presents an approach of statistical analysis to identify the most common factors that affect the students’ performance and then use artificial neural networks (ANNs) to predict students’ performance within the blended learning environment of Saudi Electronic University (SEU). Accordingly, this dissertation generated a dataset from SEU’s Blackboard learning management system. The student’s performance can be tested using a set of factors: the studying (face-to-face or virtual), percentage of attending live lectures, midterm exam scores, and percentage of solved assessments. The results showed that the four factors are responsible for academic performance. After that, we proposed a new ANN model to predict the students’ performance depending on the four factors. Firefly Algorithm (FFA) was used for training the ANNs. The proposed model’s performance will be evaluated through different statistical tests, such as error functions, statistical hypothesis tests, and ANOVA tests.

Perceptions of UST-CRS Faculty and Students on the Use of Blackboard Learning Management System: A Research Protocol

Background: The global pandemic greatly affected the educational system. Schools and universities were necessitated to adapt from a traditional classroom set-up to an online virtual mode of learning. The University of Santo Tomas – College of Rehabilitation Sciences adapted Blackboard as its primary learning management system, bringing new perceptions and opinions among its primary users- the faculty and students. Objective: The study’s objective is to determine the perception of students and faculty from the CRS on using Blackboard as a medium for enhanced virtual learning during the pandemic. Methodology: Researchers will utilize phenomenological qualitative research for this study as it seeks to study the living experiences of students and faculty members during the pandemic concerning online classes compared to face-to-face courses. Purposive sampling via maximum variation will be used to recruit 3rd year and 4th-year students and faculty members who experienced both face-to-face and online classes. The researchers will employ guide questions during the focus group discussions (FGD) conducted via Zoom. Transcripts will be analyzed using thematic analysis through Nvivo following Hancock’s guidelines. The researchers will use the CORE-Q checklist to appraise the paper and affirm its validity. Expected Results: The findings will include the varied perceptions of students and faculty about using Blackboard for online learning during the pandemic. Expected Results: Results are expected to help the education stakeholders better understand the perceptions of faculty and students to evaluate the use of the learning management system, amend necessary changes, and create relevant policies for the betterment of online learning delivery. Transcripts are expected to result in themes and subthemes that will help researchers identify the features of Blackboard that aid in the delivery of faculty lessons and students’ learning process.

Using a Modified Technology Acceptance Model for a Learning Management System Platform: A Questionnaire Design for Evaluating the Blackboard Learning Management System

Educational approaches have advanced and changed tremendously in recent years. The evolution of communication technologies has been important, particularly since many educational activities have been moved to an e-learning format. This has introduced innovative teaching methods and educational management techniques. Learning management systems (LMS) such as Web-based course development tools (WebCT), Blackboard, and learning spaces are currently widely accessible. Most higher education institutions use Blackboard as their primary LMS platform, making it one of the most frequently used LMS platforms. Blackboard technology is a widely used online program for educational institutions that makes it easier to distribute crucial items from teachers to students, such as papers, student reports, projects, and other publications. Consequently, the main objective of this paper is to design a technology acceptance model to investigate user acceptance of a Blackboard learning management system. In addition, we aim to create a quantitative strategy using a technology acceptance model (TAM) questionnaire as the major investigation tool. The Blackboard learning management system is evaluated using a quantitative approach based on the TAM. We use perceived usefulness, perceived ease of use, user satisfaction and attributes of usability as the associated constructs for evaluation. All of these structures were altered to fit the study's needs. Furthermore, in this paper, we examin the specifics of each concept, and how they relate to the research problem. The study's findings indicate a set of methodologies that can be used to evaluate the benefits of using the Blackboard system for online learning.

Platformisation of Education: An Analysis of South African Universities’ Learning Management Systems

Several studies have focused attention on the crisis of the COVID-19 pandemic and the impact on the traditional face-to-face teaching and learning activities across the globe. There is, however, little research regarding the platformisation of education with the aid of the learning management systems (LMSs) in the contexts of South African universities. With a thematic content analysis of the extant literature and a systematic review of universities’ websites, this study explored and unearthed various LMS platforms which public universities in South Africa adopted and utilized before the outbreak of the COVID-19 pandemic and during the lockdown period. The findings revealed that the majority (46%) of South Africa’s public universities used the Blackboard LMS while another 34 percent of the 26 universities used the Moodle LMS. The rest of the public universities in South Africa used one of the following LMS platforms: the Vula, Efundi, ClickUp, RUConnected, Sakai, SunLearn, Canvas, and D2LBrightspace. Furthermore, the study found that a few South African universities had moved from one LMS platform to another, especially during the period of lockdown precipitated by the pandemic; beginning from the year 2020. The LMS platforms serve the pedagogical needs of the universities in terms of facilitation of online interaction between instructors and students, dissemination of course materials, announcements, submissions, assessments, and grading of student assignments electronically. It is recommended that future studies should investigate the challenging factors responsible for the switch from one LMS platform to another across the public universities in South Africa.

No Student Left Behind: Students’ Experiences of a Self-Paced Online Learning Orientation in Undergraduate Studies during COVID-19 Pandemic

The rapid transition to remote online learning modality during the COVID-19 pandemic forced traditional brick-and-mortar universities to implement student support mechanisms to ensure that student learning is not impaired. This paper presents data derived from a study aimed at investigating students’ perceptions of a self-paced online learning orientation (OLO) in an undergraduate Food Science and Technology course. To elicit student responses, a mixed-method survey with a five-point Likert scale and open-ended qualitative questions was conducted via the Blackboard learning management system (LMS). In this study, participants reported having access to the LMS: using smartphones (66.3%), followed by a laptop with a webcam (38.55%), and a laptop with no webcam (26.51%). The participants also felt that it was easy to navigate (M = 3.95 ± 0.88) the OLO course, and they were able to locate the required content (M = 3.83 ± 1.03). Furthermore, results also showed that participants expressed a high commitment to accessing the LMS and reviewing course announcements (M = 4.72 ± 0.57) and kept up to date with the course activities (M = 4.58 ± 0.70) after completing the OLO. Therefore, the authors suggest that using a learner-centered OLO with authentic learning activities that mimic course activities is crucial to online students’ success in online learning. These findings have significant implications for educators who intend to re-design their courses and enhance remote online learning experiences for students.

Faculty Members’ Perception and Satisfaction Towards Using the Blackboard Learning Management System in Nursing Courses at Cairo University

Faculty Members’ Perception and Satisfaction Towards Using the Blackboard Learning Management System in Nursing Courses at Cairo University

Quantitative Analysis Between Blackboard Learning Management System and Students’ Learning

Quantitative Analysis Between Blackboard Learning Management System and Students’ Learning by Charles Darko * Department of Materials, The University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom * Author to whom correspondence should be addressed. Journal of Engineering Research and Sciences, Volume 1, Issue 5, Page # 119-133, 2022; DOI: 10.55708/js0105013 Keywords: Blackboard Learning

Using the Teaching Career Enhancement Award from the American Physiological Society to train faculty to successfully implement flipped teaching.

Flipped teaching (FT) is a student-centered instructional method that shifts lectures out of the classroom and uses a variety of activities to apply content during class time. FT has gained attention among educators as a student-centered instructional method. However, many faculty still lack the skills, knowledge, confidence, and expertise to implement FT in their classrooms. Therefore, course-specific training and focused mentorship are critical in successfully implementing FT. Four faculty members, from an adjunct professor to a full professor, from four diverse institutions around the country, were recruited and funded through the American Physiological Society's Teaching Career Enhancement Award to receive training in the implementation of FT in their courses. This study aimed to provide specific tools and strategies to engage students in deeper learning through activities in the participants' courses. A course was built using the Blackboard Learning Management System for the participants to receive relevant readings to be completed prior to the FT workshop. Upon completing this training, the participants examined the design and execution of FT in their classrooms and, subsequently, reflected on and refined their future course offerings. The facilitator mentored the participants throughout the process, including an on-site observation of a live FT session. Both qualitative and quantitative data were collected before and after their FT experiences. Based on the survey results, this study helped improve the FT knowledge and self-efficacy of all participants. In conclusion, the faculty utilized the training and mentoring to implement FT in their classrooms successfully and disseminate their experiences and findings.