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相关论文: Exploring Emerging Technologies for Requirements E…

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[Context] Interviewing stakeholders is the most popular requirements elicitation technique among multiple methods. The success of an interview depends on the collaboration of the interviewee which can be fostered through the interviewer's…

机器人学 · 计算机科学 2023-08-31 Binnur Görer , Fatma Başak Aydemir

Requirements Elicitation (RE) is a crucial software engineering skill that involves interviewing a client and then devising a software design based on the interview results. Teaching this inherently experiential skill effectively has high…

Elicitation interviews are the most common requirements elicitation technique, and proficiency in conducting these interviews is crucial for requirements elicitation. Traditional training methods, typically limited to textbook learning, may…

软件工程 · 计算机科学 2024-06-18 Binnur Görer , Fatma Başak Aydemir

Assessment of proficiency of the learner is an essential part of Intelligent Tutoring Systems (ITS). We use Item Response Theory (IRT) in computer-aided language learning for assessment of student ability in two contexts: in test sessions,…

人工智能 · 计算机科学 2024-09-25 Jue Hou , Anisia Katinskaia , Anh-Duc Vu , Roman Yangarber

Context. Requirements engineering remains a discipline that is faced with a large number of challenges, including the implementation of a requirements elicitation process in industry. Although several proposals have been suggested by…

软件工程 · 计算机科学 2021-02-24 Cristina Palomares , Xavier Franch , Carme Quer , Panagiota Chatzipetrou , Lidia López , Tony Gorschek

Recruitment interviews are cognitively demanding interactions in which interviewers must simultaneously listen, evaluate candidates, take notes, and formulate follow-up questions. To better understand these challenges, we conducted a…

This study systematically reviews the transformative role of Tutoring Systems, encompassing Intelligent Tutoring Systems (ITS) and Robot Tutoring Systems (RTS), in addressing global educational challenges through advanced technologies. As…

计算机与社会 · 计算机科学 2025-03-14 Vincent Liu , Ehsan Latif , Xiaoming Zhai

A major challenge in the field of education is providing review schedules that present learned items at appropriate intervals to each student so that memory is retained over time. In recent years, attempts have been made to formulate item…

人工智能 · 计算机科学 2021-08-03 Yoshiki Kubotani , Yoshihiro Fukuhara , Shigeo Morishima

Requirement Engineering (RE) is a Software Engineering (SE) process of defining, documenting, and maintaining the requirements from a problem. It is one of the most complex processes of SE because it addresses the relation between customer…

With the rapid improvement of LLMs' coding capabilities, the bottleneck of LLM-based automated software development is shifting from generating correct code to eliciting users' requirements. Despite growing interest, the interview…

软件工程 · 计算机科学 2026-02-23 Dongming Jin , Zhi Jin , Zheng Fang , Linyu Li , XiaoTian Yang , Yuanpeng He , Xiaohong Chen

Technical interviews are a critical yet stressful step in the hiring process for computer science graduates, often hindered by limited access to practice opportunities. This formative qualitative study (n=20) explores whether a multimodal…

人机交互 · 计算机科学 2025-06-24 Nathalia Gomez , S. Sue Batham , Matias Volonte , Tiffany D. Do

Virtual reality interview simulator (VRIS) provides an effective and manageable approach for candidates prone to being very nervous during interviews, yet, the major anxiety-inducing elements remain unknown. During an interview, the anxiety…

人机交互 · 计算机科学 2023-05-17 Xinyi Luo , Yuyang Wang , Lik-Hang Lee , Zihan Xing , Shan Jin , Boya Dong , Yuanyi Hu , Zeming Chen , Jing Yan , Pan Hui

The integration of Large Language Models (LLMs) in Requirements Engineering (RE) education is reshaping pedagogical approaches, seeking to enhance student engagement and motivation while providing practical tools to support their…

软件工程 · 计算机科学 2025-12-01 Sharon Guardado , Risha Parveen , Zheying Zhang , Maruf Rayhan , Nirnaya Tripathi

Learning Path Recommendation is the heart of adaptive learning, the educational paradigm of an Interactive Educational System (IES) providing a personalized learning experience based on the student's history of learning activities. In…

人机交互 · 计算机科学 2020-05-11 Youngduck Choi , Yoonho Na , Youngjik Yoon , Jonghun Shin , Chan Bae , Hongseok Suh , Byungsoo Kim , Jaewe Heo

Students learning algorithms often need support as they interpret traces, debug reasoning errors, and apply procedures across unfamiliar problem instances. In this paper, we present KITE (Knowledge-Informed Tutoring Engine), a…

Job interviews play a critical role in shaping one's career, yet practicing interview skills can be challenging, especially without access to human coaches or peers for feedback. Recent advancements in large language models (LLMs) present…

人机交互 · 计算机科学 2024-11-05 Taufiq Daryanto , Xiaohan Ding , Lance T. Wilhelm , Sophia Stil , Kirk McInnis Knutsen , Eugenia H. Rho

The success or failure of a project is highly related to recognizing the right stakeholders and accurately finding and discovering their requirements. However, choosing the proper elicitation technique was always a considerable challenge…

信息检索 · 计算机科学 2025-08-05 Ali Fallahi , Amineh Amini , Azam Bastanfard , Hadi Saboohi

Context and motivation. Online user feedback is a valuable resource for requirements engineering, but its volume and noise make analysis difficult. Existing tools support individual feedback analysis tasks, but their capabilities are rarely…

软件工程 · 计算机科学 2026-01-19 Manjeshwar Aniruddh Mallya , Alessio Ferrari , Mohammad Amin Zadenoori , Jacek Dąbrowski

Task-oriented Dialog (ToD) systems have to solve multiple subgoals to accomplish user goals, whereas feedback is often obtained only at the end of the dialog. In this work, we propose SUIT (SUbgoal-aware ITerative Training), an iterative…

计算与语言 · 计算机科学 2024-11-26 Magdalena Kaiser , Patrick Ernst , György Szarvas

Compared to traditional imitation learning methods such as DAgger and DART, intervention-based imitation offers a more convenient and sample efficient data collection process to users. In this paper, we introduce Reinforced…

机器人学 · 计算机科学 2022-03-30 Rom Parnichkun , Matthew N. Dailey , Atsushi Yamashita
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