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Direct linkGuojing Zhou – ProQuest LLC, 2020
In interactive e-learning environments such as Intelligent Tutoring Systems, there are pedagogical decisions to make at two main levels of granularity: whole problems and single steps. Here, we focus on making the problem-level decisions of worked example (WE) vs. problem solving (PS) and the step-level decisions of elicit vs. tell. More…
Descriptors: Educational Policy, Problem Solving, Learning Processes, Competence
Zhiwen Tang – ProQuest LLC, 2021
Artificial intelligence (AI) aims to build intelligent systems that can interact with and assist humans. During the interaction, a system learns the requirements from the human user and adapts to the needs to complete tasks. A popular type of interactive system is retrieval-based, where the system uses a retrieval function to retrieve relevant…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Objectives, Reinforcement
Ritchey, ChristiAnne – ProQuest LLC, 2018
The mathematics test is the most difficult test in the GED (General Education Development) Test battery, largely due to the presence of story problems. Raising performance levels of story problem-solving would have a significant effect on GED Test passage rates. The subject of this formative research study is Ms. Stephens' Categorization Practice…
Descriptors: Mathematics Tests, General Education, Formative Evaluation, Word Problems (Mathematics)
Ford, Christopher Jay – ProQuest LLC, 2018
Personalized learning for students has been an emerging trend which seeks to support teaching and learning in the 21st century (Netoch, 2017). This study identified beliefs of secondary educators on the different aspects of personalized learning for students. Areas covered in this study included teacher professional development on the personalized…
Descriptors: Secondary School Teachers, Teacher Attitudes, Beliefs, Individualized Instruction
Christopher Thomas Alvin – ProQuest LLC, 2015
Many problems related to synthesis with intelligent tutoring may be phrased as program synthesis problems using AI-style search and formal reasoning techniques. The _x000C_first two results in this dissertation focus on problem synthesis as an aspect of intelligent tutoring systems applied to STEM-based education frameworks, specifically high…
Descriptors: Synthesis, Intelligent Tutoring Systems, Artificial Intelligence, Problem Solving
Stamper, John Carroll – ProQuest LLC, 2010
Intelligent Tutoring Systems (ITSs) that adapt to an individual student's needs have shown significant improvement in achievement over non-adaptive instruction (Murray 1999). This improvement occurs due to the individualized instruction and feedback that an ITS provides. In order to achieve the benefits that ITSs provide, we must find a way to…
Descriptors: Intelligent Tutoring Systems, Individualized Instruction, Adjustment (to Environment), Feedback (Response)
