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Plintz, Nicolai; Ifenthaler, Dirk – International Association for Development of the Information Society, 2023
Emotions are vital to learning success, especially in online learning environments. They make the difference between learning success and failure. Unfortunately, learners' emotional state is still rarely considered in online learning and teaching, although it is an important driver of learning success. This paper reports a work-in-progress…
Descriptors: Online Courses, Academic Achievement, Emotional Experience, Measurement
Banihashem, Seyyed Kazem; Noroozi, Omid; Khaneh, Marzieh Parvaneh Akhteh – International Society for Technology, Education, and Science, 2021
There is a growing body of research on using learning analytics in an online constructivist learning environment to improve students' engagement and self-regulation. However, little is known to what extent female and male students differ in their engagement and self-regulation in an online Constructivist Learning Design and Learning Analytics…
Descriptors: Foreign Countries, Graduate Students, Online Courses, Constructivism (Learning)
Švábenský, Valdemar; Baker, Ryan S.; Zambrano, Andrés; Zou, Yishan; Slater, Stefan – International Educational Data Mining Society, 2023
Students who take an online course, such as a MOOC, use the course's discussion forum to ask questions or reach out to instructors when encountering an issue. However, reading and responding to students' questions is difficult to scale because of the time needed to consider each message. As a result, critical issues may be left unresolved, and…
Descriptors: Generalization, Computer Mediated Communication, MOOCs, State Universities
Sahin, Muhittin; Ifenthaler, Dirk – International Association for Development of the Information Society, 2020
A major criticism brought to digital learning environments was that the individual learning activities cannot be monitored consistently. However, recent advancements of educational data mining and learning analytics allow a precise tracking of learner activities. Previous studies focused on learners' navigation profiles, academic achievements, or…
Descriptors: Gender Differences, Interaction, Preferences, Undergraduate Students
Lam, Paul; Lau, Carmen K. M.; Chan, Chi Him – International Association for Development of the Information Society, 2019
A successful flipped classroom relies heavily on student engagement in pre-class learning and their active participation in classroom activities. However, much to students' disappointment, their efforts in the learning process often go unnoticed in traditional assessment approaches (such as term papers and final examinations) that are more…
Descriptors: Flipped Classroom, Homework, Student Attitudes, Learning Processes
Tempelaar, Dirk – International Association for Development of the Information Society, 2021
The search for rigor in learning analytics applications has placed survey data in the suspect's corner, favoring more objective trace data. A potential lack of objectivity in survey data is the existence of response styles, the tendency of respondents to answer survey items in a particular biased manner, such as yeah saying or always disagreeing.…
Descriptors: Learning Analytics, Responses, Surveys, Bias
Liu, Sa; Liu, Min – AERA Online Paper Repository, 2021
To understand how learner metacognition and goal orientation affect learner problem-solving in a Serious Game (SG) environment, this study examined 12 undergraduate students' metacognition, goal orientations, and problem-solving performances and processes while playing a SG that adopts problem-based learning pedagogy to teach space science.…
Descriptors: Metacognition, Goal Orientation, Problem Solving, Undergraduate Students
Floris, Francesco; Marchisio, Marina; Sacchet, Matteo; Rabellino, Sergio – International Association for Development of the Information Society, 2020
Open Online Courses can serve different purposes: in the case of Orient@mente at the University of Torino, they aim at facilitating the transition from secondary to tertiary education with automatic evaluation tests that students can try in order to understand their capabilities in - and their attitude towards - certain disciplines, and with…
Descriptors: Learning Analytics, Academic Failure, Universities, Student Adjustment
Nguyen, Huy Anh; Hou, Xinying; Stamper, John; McLaren, Bruce M. – International Educational Data Mining Society, 2020
A challenge in digital learning games is assessing students' learning behaviors, which are often intertwined with game behaviors. How do we know whether students have learned enough or needed more practice at the end of their game play? To answer this question, we performed post hoc analyses on a prior study of the game "Decimal Point,"…
Descriptors: Computer Games, Educational Games, Game Based Learning, Instructional Effectiveness
Abe, Kousuke; Tanaka, Tetsuo; Matsumoto, Kazunori – International Association for Development of the Information Society, 2020
The authors are developing and using a fill-in workbook system that allows faculty members to ascertain the attitude of all students to classes including students who are not active, and to improve lectures through well-timed and appropriate actions. In this paper, in order to help teachers improve lessons and teaching materials, and to help…
Descriptors: Student Attitudes, Educational Improvement, Instructional Materials, Learning Management Systems
Erica L. Snow; Maria Ofelia Z. San Pedro; Matthew Jacovina; Danielle S. McNamara; Ryan S. Baker – Grantee Submission, 2015
This study investigates how we can effectively predict what type of game a user will choose within the game-based environment iSTART-2. Seventy-seven college students interacted freely with the system for approximately 2 hours. Two models (a baseline and a full model) are compared that include as features the type of games played, previous game…
Descriptors: Game Based Learning, Decision Making, Prediction, Student Attitudes