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Javier Lozano-Parra – Journal of Geography in Higher Education, 2025
Regular class attendance has traditionally been seen as a positive contributor to academic success in higher education. However, progress in educational technologies, evolving learning styles, and self-directed learning have given rise to a debate on the role of physical presence of students in class. This study aimed to analyse the impact of…
Descriptors: Geography Instruction, Attendance, Performance, Success
J. Hannah Lee; Junsang Park; Hyun-Ju Ju; Kyoungmin Cho; Seoyoung Lim – Social Psychology of Education: An International Journal, 2024
This study examined the heterogeneity in temporal shifts of unrealistic optimism (UO) by analyzing students' grade expectation throughout a semester. UO was defined as the gap between students' estimated and current course grades, with a larger gap indicating higher UO. Final course grades were viewed as the outcome of UO. A total of 206…
Descriptors: Student Attitudes, Expectation, Academic Achievement, Psychological Patterns
Megan E. Kruskie; Rebecca L. Wisner; Jessica N. Byram; Tracy Vargo-Gogola; Andrew S. Deane – Anatomical Sciences Education, 2025
Pre-lab summary videos supplement gross anatomy courses by helping students navigate difficult concepts, increasing student confidence, and allowing for content review outside the laboratory. Few studies have examined the direct correlation between video viewing and performance outcomes. This study uses performance outcome data from six…
Descriptors: Anatomy, Video Technology, Program Effectiveness, Correlation
Mouna Ben Said; Yessine Hadj Kacem; Abdulmohsen Algarni; Atef Masmoudi – Education and Information Technologies, 2024
In the current educational landscape, where large amounts of data are being produced by institutions, Educational Data Mining (EDM) emerges as a critical discipline that plays a crucial role in extracting knowledge from this data to help academic policymakers make decisions. EDM has a primary focus on predicting students' academic performance.…
Descriptors: Prediction, Academic Achievement, Artificial Intelligence, Algorithms
Francisco Arredondo; Belen Garcia; Ruben Lijo – IEEE Transactions on Education, 2025
Contributions: This article presents the results from a teaching innovation project based on the creation of educational videos by students and their assessment through blind peer review in the context of an electric circuit course. This article also analyses the activity's impact on learning outcomes by comparing the results of participating…
Descriptors: Video Technology, Electronic Equipment, Peer Evaluation, Program Effectiveness
Brielle Campos – Practitioner to Practitioner, 2025
The purpose of this article is to present the author's anecdotal findings from using a grade defense assignment as a supplemental aspect of an ePortfolio assignment. This is not a full research study, but the author did a few semesters of testing with the assignment before implementing the grade defense in all sections of the University Seminar…
Descriptors: Assignments, Portfolio Assessment, Grades (Scholastic), Seminars
Hengtao Tang – Distance Education, 2024
Self-regulated learning (SRL) has been viewed as a critical skill for learner success in MOOCs, but due to methodological limitations of self-reported measures, the relationship between SRL and learner performance remains unquantified. Therefore, this study sought to investigate how SRL impacted learner performance in MOOCs by linking clickstream…
Descriptors: Self Management, MOOCs, Educational Technology, Adult Learning
Chamberlin, Kelsey; Yasué, Maï; Chiang, I-Chant A. – Active Learning in Higher Education, 2023
Although research has explored how in-class pedagogical practices and narrative feedback affect student engagement and motivation, questions remain on the impact of grading systems (i.e. multi-interval grades vs pass/fail and narrative evaluation) on academic motivation. Here, we compared the motivation of students who received multi-interval…
Descriptors: Scores, Student Motivation, Grades (Scholastic), Anxiety
Yanjun Wang; Yingying Jiang; Xi Chen; Hang Zhang; Pengcheng Lei; Weifeng Zhang; Wenyi Liu; Lijiao Wang; Xiaolong He; Huali Wang; Yu Rao; Lingling Yang – Journal of Chemical Education, 2025
A Drug Synthesis Reaction (DSR) course is required for undergraduates majoring in pharmacy, pharmaceutical engineering, and related majors. It aims to systematically teach students the theoretical knowledge and experimental skills of drug synthesis so that they can better adapt to drug synthesis related work after graduation. Given the…
Descriptors: Undergraduate Students, Pharmacy, Pharmaceutical Education, Video Technology
Olga Viberg; Martine Baars; Rafael Ferreira Mello; Niels Weerheim; Daniel Spikol; Cristian Bogdan; Dragan Gasevic; Fred Paas – Journal of Computer Assisted Learning, 2024
Background Study: Peer feedback has been used as an effective instructional strategy to enhance students' learning in higher education. Objectives: This paper reports on the findings of an explorative study that aimed to increase our understanding of the nature and role of peer feedback in the students' learning process in a computer-supported…
Descriptors: Feedback (Response), Peer Evaluation, Computer Assisted Instruction, Cooperative Learning
Hoq, Muntasir; Brusilovsky, Peter; Akram, Bita – International Educational Data Mining Society, 2023
Prediction of student performance in introductory programming courses can assist struggling students and improve their persistence. On the other hand, it is important for the prediction to be transparent for the instructor and students to effectively utilize the results of this prediction. Explainable Machine Learning models can effectively help…
Descriptors: Academic Achievement, Prediction, Models, Introductory Courses
Saqr, Mohammed – British Journal of Educational Technology, 2023
Learning analytics is a fast-growing discipline. Institutions and countries alike are racing to harness the power of using data to support students, teachers and stakeholders. Research in the field has proven that predicting and supporting underachieving students is worthwhile. Nonetheless, challenges remain unresolved, for example, lack of…
Descriptors: Learning Analytics, Generalizability Theory, Models, Grades (Scholastic)
Jennifer P. McCoy – ProQuest LLC, 2023
Upon identifying a problem of practice centering on students and staff alike focusing on points and grades instead of learning, a small team of teachers were assembled to participate in a cycle of inquiry. The purpose of this cycle of inquiry was to research and test the effectiveness of an intervention related to assessment. The team selected a…
Descriptors: Grades (Scholastic), Student Evaluation, Program Effectiveness, Self Evaluation (Individuals)
Keith J. Topping; Ed Gehringer; Hassan Khosravi; Srilekha Gudipati; Kaushik Jadhav; Surya Susarla – International Journal of Educational Technology in Higher Education, 2025
This paper surveys research and practice on enhancing peer assessment with artificial intelligence. Its objectives are to give the structure of the theoretical framework underpinning the study, synopsize a scoping review of the literature that illustrates this structure, and provide a case study which further illustrates this structure. The…
Descriptors: Peer Evaluation, Artificial Intelligence, Grades (Scholastic), Feedback (Response)
Claudia Schuchart; Benjamin Schimke – International Journal of Training and Development, 2025
This article focuses on the question of what strategies general education graduates can use to improve their chances of entering an attractive vocational education and training (VET) programme in Germany. We look, in particular, at grades in the school-leaving certificate and the additional acquisition of a higher qualification at a vocational…
Descriptors: Foreign Countries, Career and Technical Education, General Education, School Choice