Student-student Interaction Research Articles

중학교 수학 교과의 협력적 문제해결을 위한 수업 모형 개발

The purpose of this study is to develop a teaching model of a school mathematics that utilizes meta-affect to help middle school students develop collaborative problem solving skills in mathematics. To this end, a collaborative mathematics learning program based on student-student interaction in mathematics, including a teaching and learning model, a mathematics diary for self-reporting on meta-affect and metacognition, and a letter: writing form for students to write to themselves and their teachers. As a developmental study, this study developed a mathematics teaching model so that mata-affect could be added to the metacognition that had been used for reflective thinking activities in existing research and conducted a case study of applying the CPS-M lesson program to 10 first-year middle school students in cities D and G to confirm its applicability in the field. Based on the analysis of class videos, students' math diaries, and teachers' observation evaluation etc., during the collaborative problem solving process, students used mata-affect to become aware of and control their emotions in the process of understanding and sharing the meaning of the problem and sharing problem solving strategies. In particular, as a result of the pre-post test on meta-affect, students' grades increased in awareness of affect and emotional control among the detailed factors of meta-affect.

Assessment of ESL Student-student Interactions: Vygotsky’s Approach

Assessment of ESL Student-student Interactions: Vygotsky’s Approach

Non-inclusive teaching of students with special educational needs in a socioeconomically disadvantaged neighbourhood

ABSTRACT Despite inclusive educational policies, inclusive teaching of diverse students with special educational needs (SEN) presents a professional challenge for many teachers and schools. To better understand how and why educators sometimes teach students with SEN non-inclusively, this study mapped non-inclusive teaching along with justifications for these practices in a primary school in a socioeconomically disadvantaged neighbourhood. Within this qualitative study, a one-month ethnographic observation of teacher-student and student-student interactions in a single second-grade classroom (with 22 students) was conducted. Additionally, eight teachers from the school and the principal were interviewed on teaching students with SEN. A stepwise-deductive inductive analysis of observations and a thematic analysis of interviews documented how some teachers excluded students with SEN from learning activities and groups by inappropriate space arrangements, reduced teacher-student interactions, and negative expectations. Paradoxically, teachers justified these non-inclusive teaching practices by efforts to address the special educational needs. The findings also documented that the socioeconomically disadvantaged context increased demands on teachers in the school, which possibly contributed to the limited inclusive teaching. The findings underscore the need to increase structural support for socioeconomically disadvantaged schools and show the necessity to systematically foster inclusive attitudes and teaching skills in teacher education.

Maximising academic achievement in online learning: the role of student-content engagement strategies and profiles

ABSTRACT Learner engagement is crucial for success in online learning, and interaction plays a key role in developing engagement. While previous studies have focused on student-instructor and student-student interaction, this study examines the impact of student-content interaction, measured on digital traces data, on academic achievement in an online course. By considering specific engagement strategies and profiles, a more comprehensive understanding of student-content interaction is achieved. Three engagement profiles were identified: synchronously engaged, asynchronously engaged, and disengaged. The synchronously engaged profile was found to be the most beneficial for academic achievement, especially for high-performing students. The study also revealed a positive relationship between engagement strategies and academic achievement, with online webinar attendance being the most contributing. Additionally, the impact of engagement strategies and profiles varied for students with different levels of prior performance. Practical implications for enhancing and monitoring engagement among different student groups are discussed.

Exploratory analysis of students’ open-ended responses describing their perception of course inclusivity in an introductory physics course

In this exploratory study, we examined students’ perceptions of inclusion in a calculus-based, introductory physics 1 course for science and engineering majors. This course, offered at a large R1 institution in the United States, was conducted remotely due to the COVID-19 pandemic. Via a survey given at the end of the semester, students rated their course inclusion and provided open-text explanations for their ratings. On average, students rated the course as moderately inclusive. Using inductive qualitative content analysis, six categories emerged: academic, identity, lack of understanding, nonspecific, other, and remote learning. The top three categories were academic (41%), nonspecific (33%), and remote learning (18%). The remote learning category included phrases containing remote learning, Zoom, or COVID-19, along with a second idea explaining the student’s level of inclusion, leading to remote learning subcategories. These subcategories were similar to the other primary categories and the academic subcategories. Many students cited academic reasons for their inclusivity scores, including course structure, teaching practices, instructor-student interaction, student-student interaction, and overall course environment. Importantly, many of these factors are within the instructor’s influence. Chi-square tests indicated that students perceiving high inclusion emphasized academic factors, while those feeling low inclusion focused on the remote learning aspect of the course. Overall, our findings suggest that instructors can significantly influence students’ perceptions of inclusion through various teaching strategies, interactions between instructors and peers, and a welcoming environment. These insights contribute to the ongoing discussion about creating inclusive classrooms by incorporating student perspectives. Published by the American Physical Society 2024

Assessment of the medical school learning environment at United Arab Emirates University

BackgroundThe purpose of the article was to assess students’ perception of the learning environment at the College of Medicine and Health Sciences, United Arab Emirates University using the ‘Medical School Learning Environment Survey’ (MSLES). Evaluating the learning environment and working towards its improvement is crucial for the physical and mental well-being of medical students, as it contributes to fostering an optimal learning environment.MethodsStudents participated in four groups: Year-1 (pre-medical), Year-2 (pre-medical), Year-3/Year-4 (pre-clinical), and Year-5/Year-6 (clinical). MSLES data was collected from each group using an online survey tool (Qualtrics XM). Latent factor structures in the learning environment constructs were assessed using ‘exploratory factor analysis’; and reliability was measured by Cronbach’s alpha. Differences among groups were assessed by ‘single factor ANOVA’.ResultsThree hundred seventy-seven (65%) of the 584 eligible students completed the survey. Exploratory factor analysis revealed four factors: (Genn J. AMEE Medical Education Guide 23 (Part 1): Curriculum, environment, climate, quality and change in medical education–a unifying perspective. Med Teach. 2001;23(4):337–44.) Learning experience (∝=0.71), (Maudsley RF. Role models and the learning environment: essential elements in effective medical education. Acad Med. 2001;76(5):432–4.) Student-student interaction (∝=0.69), (Gruppen LD, Irby DM, Durning SJ, Maggio LA. Conceptualizing learning environments in the health professions. Acad Med. 2019;94(7):969–74.) Student-faculty interaction (∝=0.62), and (Soemantri D, Herrera C, Riquelme A. Measuring the educational environment in health professions studies: A systematic review. Med Teach. 2010;32(12):947–52.) Academic support (∝=0.62). Students in Y3-Y6 rated the learning environment statistically significantly lower than that in Y1-Y2. Student-student interaction in Y2 was significantly lower than that in other years. Student-faculty interaction in Y1 was significantly higher than that in Y2. Academic support was significantly higher in Y1 than that in Y2-Y6.ConclusionThe MSLES revealed variabilities in learning domains across the years. Improvement efforts should foster student-student collaboration in Y2 and improve academic support approaches for Y2-6. These findings provide valuable insights for medical educators to enhance the medical school learning environment and foster an optimal learning environment in lifelong medical education.

Online instructor satisfaction measure: Psychometric properties of the Persian version in nursing-midwifery faculty members.

Faculty satisfaction with online teaching is essential for having effective online courses, and student success. Hence, a standard and suitable measure for the evaluation of satisfaction from online learning is required. This study was conducted to psychometrically evaluate the Persian version of the Online Instructor Satisfaction Measure (OISM) in nursing-midwifery faculty members. A cross-sectional methodology study was conducted among Iranian nursing-midwifery faculty members (n = 400) from April to May 2020. After forward-backward translation, the face and content validity were assessed. The construct validity of the questionnaire was evaluated through exploratory and confirmatory factor analyses and its convergent and discriminant validities were evaluated. The reliability of the questionnaire was also evaluated through Cronbach's alpha and McDonald's omega. Five factors (instructor-student interaction, student-student interaction, affordance, institutional support, and course design/development/teaching interaction) were identified in the exploratory factor analysis (χ 2 (241) = 379.43, P < .001, χ 2/df = 1.574, GFI = 0.888, CFI = 0.939, IFI =.940, TLI =.930, RMSEA (90% C.I.) =.049 [.039.,058]). The questionnaire had acceptable content and convergent validity. The questionnaire had acceptable reliability. The findings of the study supported the adequate reliability, factorial, and convergent validities of OISM in a sample of Iranian nursing-midwifery faculty members.

Peer instruction’s Achilles’ heel: An analysis of its ineffectiveness in confronting counterintuitive physics questions

This paper examines peer instruction, an educational technique that enhances student-student interaction and student-teacher interaction, influencing students’ performance on counterintuitive physics questions. The study employed a quantitative approach with 40 participants, 22.5% of whom were male and 77.5% were female. The counterintuitive dynamics test was used to measure students’ counter intuitions in dynamics. The study results on counterintuitive questions showed no noticeable effect from peer instruction. Surprisingly, more students shifted from correct to incorrect responses after group discussions, leading to a decrease in the overall accuracy rate. Although peer instruction did not show a clear impact on counterintuitive physics questions, it is important for educators to recognize the complexity of peer instructions. Exploring different teaching methods that use peer interaction might help improve learning outcomes for counterintuitive physics questions.

When Learner-Centered Teaching and Learning Goes Online: Zooming into Linear Algebra Tutorials During the Pandemic

AbstractThe COVID-19 pandemic shifted higher education online, drawing attention to synchronous learning and instruction on digital communication platforms. Learner-centered teaching practices in the tertiary level, such as mathematical discussions, have been shown to benefit student learning. The interactions involved in online synchronous mathematical discussions have been studied less. Most research taps into these aspects drawing on students’ academic outcomes and reflective interviews. This study explores instructional practices as they unfold online, with a focus on student-instructor and student-student interactions. We zoom-in to online synchronous teaching and learning processes on a popular communication platform by analyzing Linear Algebra tutorials in the first pandemic year. Using the commognitive framework, we characterize instructional interactions with the construct of a learning-teaching agreement. The analysis resulted in three interactional patterns, where in all cases, the tutorial transformed at some point to the one dominated by the instructor.

Teaching Methods of Spoken English — Taking Rural Areas in Southwest China for Example

Based on the theoretical knowledge of educational psychology and language specialization, and under the guidance of “Positive Psychology Theory”, this project develops a set of innovative spoken English programs for secondary school students that combines Wittgenstein’s “Language Game Theory” with positive psychology theory and the “Positive Psychology Theory”. The program is based on a new model of student-student interaction and teacher-led guidance to improve secondary school students’ English speaking ability through small group classes and a differentiated game program for the students. The program breaks the traditional spoken English teaching model, combines students’ physiological and psychological characteristics, and strives to promote students’ personalized development, help students achieve from passive reception to active participation, and effectively improve students’ English language skills; in addition, the program also provides assistance and reference for solving the uneven distribution of educational resources between urban and rural areas and promoting the revitalization of rural education.

Implementation of a Real-Time Brain-to-Brain Synchrony Estimation Algorithm for Neuroeducation Applications.

This study centers on creating a real-time algorithm to estimate brain-to-brain synchronization during social interactions, specifically in collaborative and competitive scenarios. This type of algorithm can provide useful information in the educational context, for instance, during teacher-student or student-student interactions. Positioned within the context of neuroeducation and hyperscanning, this research addresses the need for biomarkers as metrics for feedback, a missing element in current teaching methods. Implementing the bispectrum technique with multiprocessing functions in Python, the algorithm effectively processes electroencephalography signals and estimates brain-to-brain synchronization between pairs of subjects during (competitive and collaborative) activities that imply specific cognitive processes. Noteworthy differences, such as higher bispectrum values in collaborative tasks compared to competitive ones, emerge with reliability, showing a total of 33.75% of significant results validated through a statistical test. While acknowledging progress, this study identifies areas of opportunity, including embedded operations, wider testing, and improved result visualization. Beyond academia, the algorithm's utility extends to classrooms, industries, and any setting involving human interactions. Moreover, the presented algorithm is shared openly, to facilitate implementations by other researchers, and is easily adjustable to other electroencephalography devices. This research not only bridges a technological gap but also contributes insights into the importance of interactions in educational contexts.

Interaksi Mahasiswa pada Pembelajaran Jarak Jauh

Distance education has become an alternative during the pandemic, from traditional learning, face-to-face with information and technology to help bridge the separation of distance and time between teachers and students to build interaction during the learning process. The purpose of this study was to get an overview of interactions in online teaching in terms of gender. The research was descriptive quantitative. The sampling technique used purposive sampling with 380 students as participants. Research instrument used interaction scale consists of four aspects such as student-student interaction, student-student interaction with content, student-instructor interaction, and student-student interaction with technology. The data analysis technique uses descriptive statistics. The results showed that student interaction was in the moderate category (70.5%). Interaction with technology sub-component shows the least amount in the low category compared to the other sub-components. Based on gender, there are differences in student interactions in online learning between female and male students. Apart from that, the average interaction between female students has a higher average than male students.

Formative Assessment Practices and its Influence on Students’ Learning and Achievement in Biology: Lessons from a Selected Community Secondary School in Moshi, Tanzania

This qualitative study explored current teachers’ formative assessment practices in Biology classrooms and how these practices influence performance in the subject. The study employed a case study design in a single selected community ordinary-level secondary school in Moshi municipality. It purposively involved two Biology teachers and twenty students selected from classes that do not have national examinations. Data were collected through semi-structured interviews with teachers, classroom observations, and focus group discussions with the students, as well as a review of students’ exercise books. The data were transcribed verbatim, then coded and themes generated through interpretive phenomenological analysis. The findings showed that teacher’s oral questioning dominated the assessment practices. Other strategies such as peer assessment, student-student interactions, descriptive feedback, and sharing of learning intentions with students seemed to be unfamiliar to the Biology teachers involved. The study recommends among other things, in-service training for teachers on how to employ alternative formative assessment practices during instruction to promote students’ learning and achievement in Biology.

Investigation of distance education students' opinions on distance education, their expectations on student-student interaction in distance education and their perceptions regarding the community feeling

Distance education offers opportunities for widespread and continuous learning, granting access to information without limitations of time or location. Despite its numerous advantages, the absence of social interaction stands out as a primary obstacle in online learning, as these interactions can play a pivotal role in mitigating students' feelings of isolation and disconnection. Current trends in higher education seek to support students not only in meeting their academic requirements but also in addressing their emotional and mental well-being. This study aims to investigate the perspectives of associate degree students engaged in distance education on various aspects of this mode of learning, their expectations regarding interaction with fellow students, and their perceptions of the community feeling. To conduct this study, a cross-sectional survey method was utilized, involving 102 associate degree students enrolled in distance education programs. The findings of this study suggest that students express a reasonable level of satisfaction with distance education. Students enrolled in distance education courses express a desire to engage with their peers while pursuing online courses. While students may experience some sense of community in the realm of distance education, this sense may not reach a fully satisfactory level. Both the sense of community in distance education and student-student interaction in online courses have a significant and positive impact on students' overall perceptions of distance education.

Construction of Online Interactive Teaching Platform for Drama, Film and Television Majors Based on Fuzzy Multi-Objective Decision Making Algorithm

Abstract This study introduces a multi-objective decision-making model tailored for developing an educational platform, blending economic considerations with the platform’s operational constraints. It employs a fuzzy set approach for algorithm design, utilizing a method that minimizes deviations in membership values for solving. The research culminates creating an online interactive teaching platform for drama and film studies. This platform is architecturally founded on the B/S framework, incorporates functional modules derived from its educational objectives, and utilizes MySQL for data flow design. Comparing it to conventional teaching methods, a comprehensive evaluation demonstrates its practical application in real-world teaching scenarios. Performance tests reveal module response times between 2.7 to 3.0 seconds, with compatibility tests ranging from 0.11 to 0.36 seconds. Under a load of 200 simultaneous users, the database connection pool maintains an optimal size of about 35 connections, with thread counts near 50 and zero idle database connections. The study also quantifies the platform’s impact on various educational aspects, showing correlation coefficients for learning attitude (0.88), motivation (0.50), behavior (0.72), and teacher-student (0.15) as well as student-student interactions (0.27) with the learning effectiveness of the platform.

初中英语课堂生生互动教学策略探究

初中英语课堂生生互动教学策略探究

Impact of Student-Student Interaction Learning Model Faced with Case of Studying IPA on V-Class in the MIS Hayatul Islam Cinangka

of the constraints affecting the learning outcomes of the IPA in students is the lack of variation of the learning model used, then students end up feeling bored and unenthusiastic so that their learning results are interrupted. The study aims to investigate the influence of the Student-Student Interaction (SSI) learning model on the learning outcomes of V-grade students on the IPA students' eyes, using the comparison of the STAD cooperative learning model. (Student Team Achievement Divisions). This research uses a quantitative approach to experimental design with a quasi-experimental design. The study was conducted with a sample of 61 students divided into two, namely 31 experimental classes using the Student-Student Interaction learning model and 30 control class using the STAD learning model (Studant Team Achievement Divisions) in the academic year 2019/2020 at MIS Hayatul Islamiyah. Based on the results of the study using the hypothesis test and nonparametric test Mann Whitney with a 95% confidence rate showed a Sig. (2-tailed) value of 0.044 which means 0.044 &lt; 0.05 so it can be concluded that there is a significant difference to the learning outcome of IPA class V between classes using the learning model SSI (Student-student Interaction) and class using the cooperative learning model STAD type (Student Teams Achievement Divisions).

PATTERNS OF TEACHER – STUDENTS’ INTERACTION IN EFL ZOOM MEETING CLASS IN SMP NEGERI 1 GANRATANG KEKE

This study aims to reveal patterns of teacher – students among interaction student in an EFL class at SMP Negeri 1 Gantarang Keke public secondary school through zoom cloud meeting and to describe the teacher-students and student-student interaction patents in the EFL class. The method used in this research is descriptive qualitative method. The subject of this research was a teacher and students’ class VII of SMP Negeri 1 Gantarang Keke. The instruments used were observation and interviews. The results of this study indicate that the introduction patterns that emerge in the classroom are group work, individual choral responded, and collaboration. Teaching and learning conferences are not only frequent when teacher want to test their skills with quizzes, but they also have difficulty understanding the lesson, not only that they often go in and out when teacher want to test their abilities factors in Zoom meeting are supporting factor. That is, to support a face-to-face online learning process, albeit virtual, and inhibiting factor for the zoom meeting is internet quotas as most students complain about internet quota, internet network and time strains limited. The conclusion of this study indicate that teacher-students and student-student interaction patterns are not effective in EFL classes.

What Factors Affect College Students' Learning Satisfaction? - A Research on Online Learning During Covid-19 in Zhumadian Vocational and Technical College

During the 2020 epidemic in China, online teaching was promoted, but fewer studies have investigated the learning satisfaction of college students who have been taught online on a large scale for an extended period of time. The factors that affect learning satisfaction mainly include students' basic attributes, learning resources, learning platforms and learning interactions. According to the results of the questionnaire survey, course content, course resources, platform technology, platform design, teacher-student interaction, student-student interaction, and interaction mode are the main factors affecting students' basic attributes. The survey results also showed that course content and interaction mode significantly affect students' learning satisfaction. Based on these findings, teachers should enrich course content to provide students with more practical, rich, and vivid teaching experiences. Additionally, teachers should pay close attention to their communication with students, offer timely guidance to students' learning, and provide feedback to any questions they ask.

A Deep Learning Model Using CNN &amp; 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.