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Immersive Learning Frameworks: A Systematic Literature Review
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Fernandes, Filipe Arantes; Rodrigues, Claudia Susie Camargo; Teixeira, Eldanae Nogueira; Werner, Claudia M. L. – IEEE Transactions on Learning Technologies, 2023
Contribution: This secondary study examines the literature on immersive learning frameworks and reviews their state of the art. Frameworks have been categorized according to their purpose. In addition, the elements that compose them were also categorized. Some gaps were identified and proposed as a research roadmap. Background: Immersive…
Descriptors: Educational Technology, Technology Uses in Education, Computer Simulation, Definitions
Causal Reasoning with Causal Graphs in Educational Technology Research
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Joshua Weidlich; Ben Hicks; Hendrik Drachsler – Educational Technology Research and Development, 2024
Researchers tasked with understanding the effects of educational technology innovations face the challenge of providing evidence of causality. Given the complexities of studying learning in authentic contexts interwoven with technological affordances, conducting tightly-controlled randomized experiments is not always feasible nor desirable. Today,…
Descriptors: Educational Research, Educational Technology, Research Design, Structural Equation Models
Using Causal Models to Bridge the Divide between Big Data and Educational Theory
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Kitto, Kirsty; Hicks, Ben; Shum, Simon Buckingham – British Journal of Educational Technology, 2023
An extraordinary amount of data is becoming available in educational settings, collected from a wide range of Educational Technology tools and services. This creates opportunities for using methods from Artificial Intelligence and Learning Analytics (LA) to improve learning and the environments in which it occurs. And yet, analytics results…
Descriptors: Causal Models, Learning Analytics, Educational Theories, Artificial Intelligence
Developing Elementary Teachers' Climate Change Knowledge and Self-Efficacy for Teaching Climate Change Using Learning Technologies
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Amal Ibourk; Lauren Wagner; Khadija Zogheib – Journal of Science Education and Technology, 2025
Elementary teachers require support through professional learning activities to enhance their climate change literacy and bolster their self-efficacy for teaching climate change. This study explores methods for supporting in-service elementary teachers' self-efficacy in climate change teaching by examining the impact of professional learning…
Descriptors: Elementary School Teachers, Climate, Pedagogical Content Knowledge, Self Efficacy
Threats to Validity in the Application of Machine Learning in Education
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Kylie Anglin – Society for Research on Educational Effectiveness, 2022
Background: For decades, education researchers have relied on the work of Campbell, Cook, and Shadish to help guide their thinking about valid impact estimates in the social sciences (Campbell & Stanley, 1963; Shadish et al., 2002). The foundation of this work is the "validity typology" and its associated "threats to…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Validity
Uncertain Causality Analysis of Critical Success Factors of Special Education Mathematics Teaching
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Lilibeth Pinili; Porferio Almerino; Janine Joy Tenerife; Samantha Shane Evangelista; Jana Gloria Almerino; Joerabell Lourdes Aro; Vivian Arnaiz; Kaitlin Marie Opingo; Jocelyn Deniega; Helen Revalde; Margie Fulgencio; Honorio Añora; Ann Frances Cabigon; Niña Rozanne Delos Reyes; Fatima Maturan; Nadine May Atibing; Lanndon Ocampo – Open Education Studies, 2024
This study determines the critical success factors of teaching mathematics to special education (SPED) students wherein a list of success factors is identified through a literature survey and analyzes the causal relationships among the identified factors to evaluate the key success factors using the integration of the grey system theory and…
Descriptors: Special Education, Mathematics Education, Mathematics Instruction, Instructional Effectiveness
Situating AI (and Big Data) in the Learning Sciences: Moving toward Large-Scale Learning Sciences
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Danielle S. McNamara; Tracy Arner; Reese Butterfuss; Debshila Basu Mallick; Andrew S. Lan; Rod D. Roscoe; Henry L. Roediger; Richard G. Baraniuk – Grantee Submission, 2022
The learning sciences inherently involve interdisciplinary research with an overarching objective of advancing theories of learning and to inform the design and implementation of effective instructional methods and learning technologies. In these endeavors, learning sciences encompass diverse constructs, measures, processes, and outcomes…
Descriptors: Artificial Intelligence, Learning Processes, Learning Motivation, Educational Research
Student Log-Data from a Randomized Evaluation of Educational Technology: A Causal Case Study
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Sales, Adam C.; Pane, John F. – Journal of Research on Educational Effectiveness, 2021
Randomized evaluations of educational technology produce log data as a bi-product: highly granular data on student and teacher usage. These datasets could shed light on causal mechanisms, effect heterogeneity, or optimal use. However, there are methodological challenges: implementation is not randomized and is only defined for the treatment group,…
Descriptors: Educational Technology, Use Studies, Randomized Controlled Trials, Mathematics Curriculum