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Zeyad Alshaikh – ProQuest LLC, 2021
Programming skills are a vital part of many disciplines but can be challenging to teach and learn. Thus, the programming courses are considered difficult and a major stumbling block. To overcome these challenges, students could benefit from extensive individual support such as tutoring, but there are simply not enough qualified tutors available to…
Descriptors: Questioning Techniques, Teaching Methods, Intelligent Tutoring Systems, Coding
Alex Geoffrey Fegely – ProQuest LLC, 2020
The purpose of this action research was to evaluate the effect educational robotics have on the programming comprehension and motivation of preservice teachers. Computer science is increasingly being integrated into K-8 curricula across the country. However, there are few teachers trained to teach basic computer science concepts. Core subject…
Descriptors: Programming, Computer Science Education, Robotics, Educational Technology
Agada, Ruth O. – ProQuest LLC, 2016
Recognition of spontaneous emotion would influence human-computer interaction and emotion-related studies in many related fields. In any given environment, the spontaneous generation of expression are more often observed than their prototypic counterparts.This thesis explores methods for detecting emotional facial expressions occurring in a…
Descriptors: Intelligent Tutoring Systems, Comprehension, Nonverbal Communication, Identification
The Effects of Beacons, Comments, and Tasks on Program Comprehension Process in Software Maintenance
Fan, Quyin – ProQuest LLC, 2010
Program comprehension is the most important and frequent process in software maintenance. Extensive research has found that individual characteristics of programmers, differences of computer programs, and differences of task-driven motivations are the major factors that affect the program comprehension results. There is no study specifically…
Descriptors: Computer Software, Maintenance, Programming, Employees
Wu, Stephen Tze-Inn – ProQuest LLC, 2010
This thesis aims to define and extend a line of computational models for text comprehension that are humanly plausible. Since natural language is human by nature, computational models of human language will always be just that--models. To the degree that they miss out on information that humans would tap into, they may be improved by considering…
Descriptors: Comprehension, Semantics, Syntax, Short Term Memory