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Varghese, Femina P.; Nolan, Jon; Ali, Saba Rasheed; Anderson, Evan; Southerland, Ryan – Journal of Career Development, 2020
Vocational psychologists have predicted the utilization of telepsychology in career interventions, yet vocational research have not capitalized on this modality. The purpose of this article is to describe how telepsychology could be used effectively in vocational psychology research to expand the reach and application of the field's scholarship to…
Descriptors: Industrial Psychology, Career Counseling, Computer Mediated Communication, Ethics
Kent, Carmel; Cukurova, Mutlu – Journal of Learning Analytics, 2020
Although collaboration is considered a key 21st-century skill, oftentimes it is only assessed through the outcome measures of individual learners. In this paper, we draw upon collaborative cognitive load theory (CCLT) to explain the process of collaboration in learning from the point of view of the collective, rather than an individual learner.…
Descriptors: Cooperative Learning, Learning Analytics, Difficulty Level, Evaluation Methods
Cookson, April; Kim, Daesang; Hartsell, Taralynn – International Journal of Information and Communication Technology Education, 2020
The purpose of this project was to increase student achievement, engagement, and satisfaction using animated instructional videos in an online general psychology course at a community college. This project not only considered the data collected from student activity tracking, but also examined students' perception of how the videos engaged and…
Descriptors: Academic Achievement, Learner Engagement, Student Satisfaction, Animation
Chu, Wei; Pavlik, Philip I., Jr. – International Educational Data Mining Society, 2023
In adaptive learning systems, various models are employed to obtain the optimal learning schedule and review for a specific learner. Models of learning are used to estimate the learner's current recall probability by incorporating features or predictors proposed by psychological theory or empirically relevant to learners' performance. Logistic…
Descriptors: Reaction Time, Accuracy, Models, Predictor Variables
Dina Foster; Caitlin McLemore; Brandon Olszewski; Ali Chaudhry; Ekaterina Cooper; Laurie Forcier; Rose Luckin – UK Department for Education, 2023
A rapid, exploratory review to establish a shared understanding of what constitutes good quality EdTech and implementation. The review: (1) examined existing frameworks and standards; and (2) identified the characteristics, quality components, essential conditions and evaluation criteria for the design and implementation of EdTech. The report…
Descriptors: Standards, Educational Technology, Guidelines, Evidence Based Practice
Shabnam Ara S. J.; Tanuja R. – Journal of Education and e-Learning Research, 2024
Understanding the factors that influence students' results in hybrid learning environments is becoming increasingly important in today's educational environment. The goal of this research is to examine factors that influence students' academic performance as well as their level of participation in blended learning environments. A comprehensive…
Descriptors: Academic Achievement, Blended Learning, Learning Analytics, Technology Education
Ifenthaler, Dirk; Gibson, David; Zheng, Longwei – International Association for Development of the Information Society, 2018
This study is part of a research programme investigating the dynamics and impacts of learning engagement in a challenge-based digital learning environment. Learning engagement is a multidimensional concept which includes an individual's ability to behaviourally, cognitively, emotionally, and motivationally engage in an on-going learning process.…
Descriptors: Learner Engagement, Electronic Learning, Learning Analytics, College Students
Sarmonpal, Sandra – ProQuest LLC, 2018
The purpose of this study was to examine and describe the nature of the research to practice gap in learning analytics applications in K12 educational settings. It was also the purpose of this study to characterize how learning analytics are currently implemented and understood. A secondary objective of this research was to advance a preliminary…
Descriptors: Learning Analytics, Research and Development, Theory Practice Relationship, Web Sites
Yanjin Long; Kenneth Holstein; Vincent Aleven – Grantee Submission, 2018
Accurately modeling individual students' knowledge growth is important in many applications of learning analytics. A key step is to decompose the knowledge targeted in the instruction into detailed knowledge components (KCs). We search for an accurate KC model for basic equation solving skills, using data from an intelligent tutoring system (ITS),…
Descriptors: Learning Processes, Mathematics Skills, Equations (Mathematics), Problem Solving
Mella-Norambuena, Javier; Cobo-Rendon, Rubia; Lobos, Karla; Sáez-Delgado, Fabiola; Maldonado-Trapp, Alejandra – Education Sciences, 2021
Due to the COVID-19 pandemic, students worldwide have continued their education remotely. One of the challenges of this modality is that students need access to devices such as laptops and smartphones. Among these options, smartphones are the most accessible because of their lower price. This study analyzes the usage patterns of smartphone users…
Descriptors: Telecommunications, Handheld Devices, Undergraduate Students, STEM Education
Youngs, Bonnie L. – Language Learning & Technology, 2021
Learning analytics (LA) offer benefits and challenges for online learning, but prior to collecting data on high-stakes summative assessments as proof of student learning, LA researchers should engage instructors as partners to ensure the quality of course materials through the formative evaluation of individual items (Bienkowski et al., 2012;…
Descriptors: French, Online Courses, Second Language Learning, Second Language Instruction
González-Castro, Nuria; Muñoz-Merino, Pedro J.; Alario-Hoyos, Carlos; Delgado Kloos, Carlos – Australasian Journal of Educational Technology, 2021
Massive open online courses (MOOCs) pose a challenge for instructors when trying to provide personalised support to learners, due to large numbers of registered participants. Conversational agents can be of help to support learners when working with MOOCs. This article presents an adaptive learning module for JavaPAL, a conversational agent that…
Descriptors: Online Courses, Learning Modules, Computer Science Education, Programming
Ong, Aloysius; Lee Teo, Chew; Tan, Samuel; Song Kim, Mi – Education 3-13, 2021
This case study explores how a science teacher adopted knowledge building and learning analytics to support a class of primary five students to collaboratively inquire and learn about electricity. Specifically, we aim to understand how the teacher implemented a lesson design guided by knowledge building principles of idea improvement and community…
Descriptors: Elementary School Students, Grade 5, Females, Science Teachers
Cherner, Todd; Halpin, Peter – Journal of Interactive Learning Research, 2021
Virtual reality (VR) is an emerging technology that is gaining traction in K12 education. Whereas well-designed and engaging VR experiences may be considered educational, teacher educators with content-area expertise are uniquely positioned to analyze the actual content provided by those experiences when determining VR's educational value.…
Descriptors: Content Analysis, Computer Software, Computer Simulation, Preservice Teachers
Kim, Byungsoo; Yu, Hangyeol; Shin, Dongmin; Choi, Youngduck – International Educational Data Mining Society, 2021
The needs for precisely estimating a student's academic performance have been emphasized with an increasing amount of attention paid to Intelligent Tutoring System (ITS). However, since labels for academic performance, such as test scores, are collected from outside of ITS, obtaining the labels is costly, leading to label-scarcity problem which…
Descriptors: Academic Achievement, Intelligent Tutoring Systems, Prediction, Scores