The value of an instructor is that she exactly recognizes what the learner is struggling with and provides constructive feedback straight to the point. This work aims at a step towards this type of feedback in the context of an introductory programming course, where students perform program execution tracing to align their understanding of Java…

When text datasets are very large, manually coding line by line becomes impractical. As a result, researchers sometimes try to use machine learning algorithms to automatically code text data. One of the most popular algorithms is topic modeling. For a given text dataset, a topic model provides probability distributions of words for a set of…

Teaching students statistical programming languages while simultaneously teaching them how to debug erroneous code is challenging. The traditional programming course focuses on error-free learning in class while students' experiences outside of class typically involve error-full learning. While error-free teaching consists of focused lectures…

Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…

This paper presents a case study that is part of a research studying how university statistics teachers integrate digital tools in their practice. The case study is of a teacher who claims to follow constructionist ideas for her teaching of statistics, using the R programming language. The teacher developed a series of activities with R, aiming to…

Although the number of qualitative research studies has boomed in recent years, close observation reveals that often the research designs and methodological considerations and approaches have developed a type of configuration that does not adhere to purist definitions of the labels attached. Very often so called interpretivist studies are not…

This study discusses the automatic coding methods of the Community of Inquiry (CoI) framework for multilingual contexts, in particular. In universities, foreign students cannot be overlooked, and learning systems are also required to work in multilingual situations. However, none of the existing work has addressed the lack of language-agnostic and…

Teaching an introductory programming course to an average of 40 students while monitoring their performance can be a challenge for instructors. Preparing coding exercises with test cases and checking students' programs can prove to be time consuming at times. Moreover, programming has been known to be quite difficult for students to learn. To…

Although students' difficulties in developing and understanding proofs in mathematics is well documented, less is known about how students' example use may support their proof practices, particularly at the middle school level. Research on example use suggests that strategic thinking with examples could play an important role in exploring…

When validating assessment models built with data mining, generalization is typically tested at the student-level, where models are tested on new students. This approach, though, may fail to find cases where model performance suffers if other aspects of those cases relevant to prediction are not well represented. We explore this here by testing if…

This paper presents perspectives on the use of data analysis software in the process of qualitative research. These perspectives were gained in the conduct of three qualitative research studies that differed in theoretical frames, areas of interests, and scope. Their common use of a particular data analysis software package allows the exploration…

CHROMACODE is a conceptual tool that uses systematic, logical, and visual processes for organizing and analyzing qualitative research findings for the researcher with relatively low technical knowledge of data analysis. It can best be described as a visual conceptual scheme with coding based on a color-dependent procedure. Color provides a sense…

To code and analyze research data on videotape, a methodology is needed that allows the researcher to code directly and then analyze the observed degree of intensity of the observed events. The establishment of such a methodology is the next logical step in the development of the use of video recorded data in research. The Technological…

The fundamental question in creating coding categories for an open-ended questionnaire is how to transform a complete transcript into manageable pieces of data. This paper describes the methodology involved in coding qualitative data derived from an evaluation of the Cognitive Approaches to School Leadership (CASL) program. The first task was to…

This study undertook the development and piloting of a coding system for the evaluation of asynchronous Web-based Instruction and learning. Processes were guided by four prominent educational perspectives and the extended examination of, and survey data from, 17 archived Web-based courses. These served as the bases for the development and…