Kamil Akhuseyinoglu

Kamil Akhuseyinoglu
University of Pittsburgh | Pitt · Information Science and Technology

Ph.D. Student

About

19
Publications
2,977
Reads
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85
Citations
Citations since 2016
19 Research Items
85 Citations
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201620172018201920202021202205101520253035
201620172018201920202021202205101520253035

Publications

Publications (19)
Chapter
Studies of technology-enhanced learning (TEL) environments indicated that learner behavior could be affected (positively or negatively) by presenting information about their peer groups, such as peer in-system performance or course grades. Researchers explained these findings by the social comparison theory, competition, or by categorizing them as...
Chapter
We present here a novel instructional resource, called DeepCode, to support deep code comprehension and learning in intro-to-programming courses (CS1 and CS2). DeepCode is a set of instructional code examples which we call a codeset and which was annotated by our team with comments (e.g., explaining the logical steps of the underlying problem being...
Article
Online learning systems should support students preparedness for professional practice, by equipping them with the necessary skills while keeping them engaged and active. In that regard, the development of online learning systems that support students’ development and engagement with programming is a challenging process. Early career computer scien...
Article
Full-text available
Educational data mining research has demonstrated that the large volume of learning data collected by modern e-learning systems could be used to recognize student behavior patterns and group students into cohorts with similar behavior. However, few attempts have been done to connect and compare behavioral patterns with known dimensions of individua...
Conference Paper
Full-text available
We present in this paper a summary analysis of log files collected during an experiment designed to test the hypothesis that prompting for free self-explanations leads to better comprehension of computer code examples. Indeed, the results indicate that students who were prompted to self-explain while trying to understand code examples performed sig...
Chapter
This paper contributes to the research on explainable educational recommendations by investigating explainable recommendations in the context of personalized practice system for introductory Java programming. We present the design of two types of explanations to justify recommendation of next learning activity to practice. The value of these explai...
Article
Purpose Interest is currently growing in open social learner modeling (OSLM), which means making peer models and a learner's own model visible to encourage users in e-learning. The purpose of this study is to examine students' views about the OSLM in an e-learning system. Design/methodology/approach This case study was conducted with 40 undergradu...
Chapter
Full-text available
Previous research on technology-enhanced learning indicated that exposing students to information related to their peers’ performance might positively or negatively affect their behavior and performance. For example, recent research has demonstrated that augmenting traditional open learner models (OLMs) with views of the learner model of peers coul...
Article
This research is focused on how to support students’ acquisition of program construction skills through worked examples. Although examples have been consistently proven to be valuable for student’s learning, the learning technology for computer science education lacks program construction examples with interactive elements that could engage student...
Article
Full-text available
Researchers in many disciplines are developing novel interactive smart learning objects like exercises and visualizations. Meanwhile, Learning Management Systems (LMS) and eTextbook systems are also becoming more sophisticated in their ability to use standard protocols to make use of third party smart learning objects. But at this time, educational...
Conference Paper
Full-text available
Students might pursue different goals throughout their learning process. For example, they might be seeking new material to expand their current level of knowledge, repeating content of prior classes to prepare for an exam, or working on addressing their most recent misconceptions. Multiple potential goals require an adaptive e-learning system to r...
Presentation
Full-text available
In this work, we described methods used to predict student success on a given programming task and reported our evaluation results.
Conference Paper
Full-text available
A sizable body of research on instructional practices supports the use of worked examples for acquiring cognitive skills in domains such as mathematics and physics. Although examples are also important in the domain of programming, existing research on programming examples is limited. Program examples are used by instructors to achieve two importan...

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