Anagha Vadarevu

dblp:371/6374 · DBLP profile ↗
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5ranked-venue papers
0as first author
5since 2021 · last 2026
0009-0005-9942-443XORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 5 · 5 since 2021
YearPublicationVenuePosition
2026 Student Perceptions of Alternative Evaluation in an Introductory Programming Course
abstract
Skills-based evaluation is an alternative evaluation model that is a variation of both mastery and specifications grading. Students are evaluated on the set of skills they have demonstrably acquired over the duration of a course and the level at which they are able to demonstrate those skills. This is in opposition to traditional models which evaluate performance at fixed time points. A growing body of research suggests that such alternative evaluation models are more equitable, motivating, and efficacious for students. However, adoption remains limited in part due to concerns about student acceptance, perceived lack of rigour, and the potential increase in workload due to repeated assessments.
Brian Harrington 0001, Katherine Lambert, Leon Lee 0002, Rohita Nalluri, Seyed Sadra Setarehdan, Anagha Vadarevu, Angela M. Zavaleta Bernuy
ITiCSE (1)6
2026 Oral Examinations in CS - A Systematic Literature Map
Maria Motallebi, Iaroslav Abramov, Ahmad Zubair Alnoor, Awais Aziz, Tianxu Kao, Zuhal Olomi, Anagha Vadarevu, Brian Harrington 0001
ITiCSE (2)8
2025 Literature Mapping: A Scaffolded, Scalable, Low-Overhead Undergraduate Research Experience
abstract
There is a wealth of evidence that involving undergraduate students in research has positive impacts in a variety of areas, from representation and retention to outcomes and self-efficacy. However, developing and growing an undergraduate research program can be daunting, especially for institutions that do not have a large existing research enterprise. In this work, we detail a program that revolves around student-developed literature maps to help students gain the ability to read and assess research papers in a way that is accessible, robust, and requires relatively little faculty overhead. We further detail how this program has been run through 4 iterations, with a total of 47 students producing 5 posters or short papers, and 3 full papers. In this work, we provide our experiences using literature mapping projects to boot-strap an undergraduate research program and provide quantitative and qualitative analysis of the students who have participated. All of the materials, including sample spreadsheets, and scripts to generate LaTeX tables and figures are included for anyone wishing to undertake a literature mapping project of their own.
Brian Harrington 0001, Rohita Nalluri, Anagha Vadarevu, Angela M. Zavaleta Bernuy
SIGCSE (1)4
2024 Alternative Evaluation in CS Education Research: A Systematic Literature Map
abstract
There is a growing movement in the education community to re-evaluate grading practices and find ways of evaluating students that are more flexible, equitable, and focused on student growth. A wide variety of alternative evaluation systems have been developed, including mastery grading, specifications grading, contract grading and ungrading.
Brian Harrington 0001, Thezyrie Amarouche, Andrew Aucie, Shreeansha Bhattarai, Raha Gharadaghi, Linda Lo, Maliha Lodi, Rohita Nalluri, Fawaz Omidiya, Anagha Vadarevu
SIGCSE (2)13
2024 Specifications and Contract Grading in Computer Science Education
abstract
With the recent growth in popularity of alternative evaluation methods, two methodologies have become particularly prevalent in CS education literature: Specifications grading and contract grading. Recent work has shown that these novel evaluation approaches can have positive impacts in the classroom and lead to more equitable outcomes for students. However, there is not yet a consensus on terminology, implementation details and best practices. In this work, we review the literature on the use of specifications and contract grading in CS education. We find that while there is a good deal of promising research, there is a great deal of variation in methodologies and a sparsity of evaluation of the efficacy of learning outcomes.
Brian Harrington 0001, Abdalaziz Galal, Rohita Nalluri, Faiza Nasiha, Anagha Vadarevu
SIGCSE (1)5