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Farrow, Elaine; Moore, Johanna D.; Gaševic, Dragan – Journal of Learning Analytics, 2022
By participating in asynchronous course discussion forums, students can work together to refine their ideas and construct knowledge collaboratively. Typically, some messages simply repeat or paraphrase course content, while others bring in new material, demonstrate reasoning, integrate concepts, and develop solutions. Through the messages they…
Descriptors: Asynchronous Communication, Computer Mediated Communication, Group Discussion, Learning Analytics
Pelánek, Radek; Effenberger, Tomáš; Kukucka, Adam – Journal of Educational Data Mining, 2022
We study the automatic identification of educational items worthy of content authors' attention. Based on the results of such analysis, content authors can revise and improve the content of learning environments. We provide an overview of item properties relevant to this task, including difficulty and complexity measures, item discrimination, and…
Descriptors: Item Analysis, Identification, Difficulty Level, Case Studies
Johnson, Andy; Miller, Shawn – Advanced Distributed Learning Initiative, 2022
The founding goal of using standards within acquisition of distributed learning content and technology is to reduce cost in both current and future acquisitions and collaborative efforts across organizations. This document explores existing successful acquisitions and supplies that language as well as successful ways to implement best practices of…
Descriptors: Standards, Course Content, Information Technology, Cost Effectiveness
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
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
Lowe, M. Sara; Macy, Katharine V.; Stone, Sean M. – Journal of Information Literacy, 2019
For one-shot instruction sessions, formative assessment is the most feasible method for gathering data to aid contingent teaching, the practice of adapting to learners' needs. Various technologies aid in the quick and efficient gathering of data on student learning in the classroom that can be used for formative assessment. Outside of a library…
Descriptors: Teaching Methods, Audience Response Systems, Learning Analytics, Formative Evaluation
Tissenbaum, Mike; Slotta, Jim – International Journal of Computer-Supported Collaborative Learning, 2019
This paper investigates the role of the physical classroom environment, coupled with a technology environment that includes real-time agents and data analytics, to support the orchestration of complex collaborative inquiry designs in a high school physics classroom. This design-based research contributes to the wider domain of scripting and…
Descriptors: Physical Environment, Classroom Environment, Handheld Devices, Technology Uses in Education
Loperfido, Fedela Feldia; Dipace, Anna; Scarinci, Alessia – Research on Education and Media, 2018
What emotions can students experience in digitally mediated learning processes? In this paper, we connect Learning Analytics to the Grounded Theory in order to analyse the emotional world of students of 11 courses within the EduOpen (www.eduopen.org) massive open online course (MOOC) platform. Namely, we have used NVivo 11 Plus software and have…
Descriptors: Learning Analytics, Emotional Experience, Psychological Patterns, Online Courses
Smith, Brent; Milham, Laura – Advanced Distributed Learning Initiative, 2021
Since 2016, the Advanced Distributed Learning (ADL) Initiative has been developing the Total Learning Architecture (TLA), a 4-pillar data strategy for managing lifelong learning. Each pillar describes a type of learning-related data that needs to be captured, managed, and shared across an organization. Each data pillar is built on a set of…
Descriptors: Learning Analytics, Computer Software, Metadata, Learning Activities
Hadavand, Aboozar; Muschelli, John; Leek, Jeffrey – Journal of Learning Analytics, 2019
Due to the fundamental differences between traditional education and massive open online courses (MOOCs), and because of the ever-increasing popularity of the latter, more research is needed to understand current and future trends in MOOCs. Although research in the field has grown rapidly in recent years, one of the main challenges facing…
Descriptors: Learning Analytics, Student Behavior, Online Courses, Large Group Instruction
Roux, Lisa; Dagorret, Pantxika; Etcheverry, Patrick; Nodenot, Thierry; Marquesuzaa, Christophe; Lopisteguy, Philippe – International Association for Development of the Information Society, 2021
Distance computer-assisted learning is increasingly common, owing largely to the expansion and development of e-technology. Nevertheless, the available tools of the learning platforms have demonstrated their limits during the pandemic context, since many students, who were used to "face-to-face" education, got discouraged and dropped out…
Descriptors: Distance Education, Computer Software, Teacher Student Relationship, Supervision
Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
Kenneth Holstein; Gena Hong; Mera Tegene; Bruce M. McLaren; Vincent Aleven – Grantee Submission, 2018
When used in classrooms, personalized learning software allows students to work at their own pace, while freeing up the teacher to spend more time working one-on-one with students. Yet such personalized classrooms also pose unique challenges for teachers, who are tasked with monitoring classes working on divergent activities, and prioritizing…
Descriptors: Middle School Teachers, Mathematics Teachers, Technology Uses in Education, Educational Technology
Kannan, Vijayanandhini; Warriem, Jayakrishnan M.; Majumdar, Rwitajit; Ogata, Hiroaki – Research and Practice in Technology Enhanced Learning, 2022
With COVID-19 pandemic forcing academic institutions to shift to emergency remote teaching (ERT), teachers worldwide are attempting several strategies to engage their learners. Even though existing research in online learning suggests that effectiveness of the online session is more dependent on pedagogical design rather than technology feature,…
Descriptors: Physics, Undergraduate Students, COVID-19, Pandemics