Sally Hamouda

Cairo University, Computer Engineering Department, Faculty Member

Followers

Following

Co-authors

Public Views

Sally Hamouda is currently holds a PhD from the department of Computer Science at Virginia Tech University. Her main research interest is Computer Science Education. She was an active member in OpenDSA online e-textbook project for more than 5 years. She was an essential member in building Cairo University E-learning center for more than 4 years. She enjoys teaching and worked as an instructor for teaching undergraduate and graduate courses for more than 6 years at Virginia Tech, the American University in Cairo and Cairo University. She worked also as a research assistant at Microsoft Innovation lab in Cairo for 2 years in the fields of social networks analysis and data mining.

less

Kjetil Haugen

Molde University College

David Seamon

Kansas State University

Armando Marques-Guedes

UNL - New University of Lisbon

Paul Tobin

Dublin Institute of Technology

Dimitrios Xanthidis

Higher Colleges of Technology

Sajadin Sembiring

Universitas Sumatera Utara

Journal of Computer Science IJCSIS

Sulaiman Al-Balushi

Sultan Qaboos University

Bogdan Gabrys

University of Technology Sydney

Ashok Paranjothi

Sri Sairam Institute Of Technology

InterestsView All (6)

Uploads

Papers by Sally Hamouda

KiData: simple data visualization tool for future data scientists

Frontiers in computer science, Oct 22, 2023

Data and visualizations are powerful tools that provide insights, analysis, and conclusions in a ... more Data and visualizations are powerful tools that provide insights, analysis, and conclusions in a logical and easy-to-understand manner. However, the current school curriculum lacks adequate preparation for students to understand, analyze, interpret, or create complex data visualizations, which can hinder their potential careers in data science. To address this gap, our project aimed to develop a userfriendly web-based tool that provides interactive lessons on data and visualizations for elementary school children. The website consists of lessons, categorized by grade levels (st-nd grade, rd-th grade, and th-th grade), and includes an interactive question-answer section. Users can scroll down after reading the lessons and practice questions based on the visualizations. The website also has the potential to incorporate games related to data and visualization. The lessons are implemented using React.js and Java with the Spring framework, and new lessons can easily be added by storing them in a markdown folder. The website features a navigation bar with tabs for Home, Lessons, Games, About, and Contact. Additionally, a feedback form is included to gather user feedback for further improvements. The website is currently in the testing stage, and future surveys for teachers and elementary school students will be added to enhance the features provided. Our study presents preliminary findings and serves as a foundational exploration. We acknowledge that further research and experimentation are required to validate and expand upon the results discussed herein.

Download

Mapping the landscape: Peer review in computing education research

Peer review is a mainstay of academic publication indeed, it is the peer-review process that prov... more Peer review is a mainstay of academic publication indeed, it is the peer-review process that provides much of the publications credibility. As the number of computing education conferences and the number of submissions increase, the need for reviewers grows. This report does not attempt to set standards for reviewing; rather, as a first step toward meeting the need for well qualified reviewers, it presents an overview of the ways peer review is used in various venues, both inside computing education and, for comparison, in closely-related areas outside our field. It considers four key components of peer review in some depth: criteria, the review process, roles and responsibilities, and ethics and etiquette. To do so, it draws on relevant literature, guidance and forms associated with peer review, interviews with journal editors and conference chairs, and a limited survey of the computing education research community. In addition to providing an overview of practice, this report iden...

Enhancing Learning of Recursion

Dedication This dissertation is dedicated to the loving memory of my mother, Nadia. Her support, ... more Dedication This dissertation is dedicated to the loving memory of my mother, Nadia. Her support, encouragement, and constant love have sustained me throughout my life. I also dedicate this dissertation to my husband, Mohamed. I give my deepest expression of love and appreciation for the encouragement that he gave and the sacrifices he made during my graduate program. iii First of all, all thanks due to ALLAH. May His peace and blessings be upon his prophet for granting me the chance to successfully complete my PhD. My heartfelt gratitude to my advisor, Professor Clifford A. Shaffer for his inspiration, enthusiasm, invaluable guidance, and patience. He has taught me many things, and this work would not have been possible without his encouragement and support. I would like to especially thank Dr. Stephen Edwards for his precious feedback and guidance. I would also like to thank my other committee members Dr. Hicham El Mongui, Dr. Jeremy Ernst and Dr. Aditya Prakash for their support, feedback and efforts reviewing my work and dissertation. It is my honor to have worked and learned from them. * In this dissertation we used the term "CS3" to open refer to a Data Structures and Algorithms course taken subsequent to a traditional CS2 course

Download

How statistics are used in computing education research

Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education, 2018

Conferences such as ITiCSE have recently seen an increase in the number of papers presenting empi... more Conferences such as ITiCSE have recently seen an increase in the number of papers presenting empirical research in computing education. While empirical research need not be quantitative, there has been a corresponding increase in the number of papers that present some level of statistical analysis to support their arguments. This poster introduces a project that is exploring how -- and how well -- statistics are used and reported in computing education research.

FDG-SD: A New Hybrid Technique for Solving Subgroup Discovery Problem

Harnessing Faculty Knowledge and Open-Enabled Practices to Create Ebooks and Online Course Material

Download

SimpleChartsRI: A User-Friendly Web-Tool for Creating Effective Visualizations

Frontiers in Computer Science, 2021

Data visualization tools can help teachers engage students who are visual learners. Current web-t... more Data visualization tools can help teachers engage students who are visual learners. Current web-tools that focus on the creation of visualizations are not beginner-friendly and require little support for teachers wishing to implement visualizations into their classrooms. As a result, teachers rarely use visualization tools. This paper addresses the lack of visualization tool usage in classrooms, analyzes why this is based on previous research and current research we conducted, and offers potential focuses a visualization tool should have—through the lens of our own tool SimpleChartsRI—for pedagogical use. SimpleChartsRI aims to help high-school teachers create effective visualizations through a simple user-friendly interface that guides them on best practices.

Download

Visual Portrayals of Data and Results at ITiCSE

Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, 2019

We present an analysis of the visual portrayals of data (including results) in the full papers an... more We present an analysis of the visual portrayals of data (including results) in the full papers and working group reports of ITiCSE from 2013 to 2018. We find that tables are the most common visual portrayal of data in these publications, but that a number of graphical forms are also widely used. We examine the quality of the data portrayals for tables, graphs, and images using visual quality indicators derived from the literature. Overall, our findings are not positive. We find that many papers present data in such a way that it cannot be readily interpreted. The most common problem is captions that do not adequately describe the table, figure, or image. In tables, the main issues affecting readability of numeric data are poor alignment of numbers within a column, unnecessary notations, and unwarranted precision. In graphs and images, the prevalent problem is text that is too small to be read. We conclude with guidelines for future authors to ITiCSE and other computing education venues, in the hope that we can contribute to an improvement in the quality of computing education publications.

Automating Learner Feedback in an eTextbook for Data Structures and Algorithms Courses

Formative Assessment, Learning Data Analytics and Gamification, 2016

How to provide appropriate feedback to students on the state of their knowledge and supplying a s... more How to provide appropriate feedback to students on the state of their knowledge and supplying a sufficient number of practice problems are major concerns for many courses. Creating engaging and interactive course materials is another challenge for many educators. We explore how an eTextbook can be used to address these issues and improve learning outcomes. Through several case studies, we discuss how information gathered from user interaction logs can be used both to understand student behavior and to improve the system. We explore the deployment of basic gamification techniques within an eTextbook to motivate students and to encourage them toward more learning-oriented behavior.

Reviewing Computing Education Papers

Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education, 2020

Peer review is a mainstay of academic publication - indeed, it is the peer-review process that pr... more Peer review is a mainstay of academic publication - indeed, it is the peer-review process that provides much of the publications' credibility. This working group is examining the ways peer review is used in various computing education venues and will use this examination to articulate community standards for peer review in this discipline.

Mapping the Landscape of Peer Review in Computing Education Research

Proceedings of the Working Group Reports on Innovation and Technology in Computer Science Education

Peer review is a mainstay of academic publication-indeed, it is the peer-review process that prov... more Peer review is a mainstay of academic publication-indeed, it is the peer-review process that provides much of the publications' credibility. As the number of computing education conferences and the number of submissions increase, the need for reviewers grows. This report does not attempt to set standards for reviewing; rather, as a first step toward meeting the need for well qualified reviewers, it presents an overview of the ways peer review is used in various venues, both inside computing education and, for comparison, in closely-related areas outside our field. It considers four key components of peer review in some depth: criteria, the review process, roles and responsibilities, and ethics and etiquette. To do so, it draws on relevant literature, guidance and forms associated with peer review, interviews with journal editors and conference chairs, and a limited survey of the computing education research community. In addition to providing an overview of practice, this report identifies a number of themes running through the discourse that have relevance for decision making about how best to conduct peer review for a given venue. * Working group co-leader CCS CONCEPTS • Social and professional topics → Computing education.

Download

Investigating Difficult Topics in a Data Structures Course Using Item Response Theory and Logged Data Analysis

We present an analysis of log data from a semester’s use of the OpenDSA eTextbook system with the... more We present an analysis of log data from a semester’s use of the OpenDSA eTextbook system with the goal of determining the most difficult course topics in a data structures course. While experienced instructors can identify which topics students most struggle with, this often comes only after much time and effort, and does not provide real-time analysis that might benefit an intelligent tutoring system. Our factors included the fraction of wrong answers given by student, results from Item Response Theory, and the rate of model answer and hint use by students. We grouped exercises by topic covered to yield a list of topics associated with the harder exercises. We found that a majority of these exercises were related to algorithm analysis topics. We compared our results to responses given by a sample of experienced instructors, and found that the automated results match the expert opinions reasonably well. We investigated reasons that might explain the over-representation of algorithm ...

Download

Inferential Statistics in Computing Education Research

Proceedings of the 2019 ACM Conference on International Computing Education Research