[HTML][HTML] The effect of using Kahoot! for learning–A literature review

AI Wang, R Tahir - Computers & Education, 2020 - Elsevier
Kahoot! is a game-based learning platform used to review students' knowledge, for formative
assessment or as a break from traditional classroom activities. It is among the most popular …

The wear out effect of a game-based student response system

AI Wang - Computers & Education, 2015 - Elsevier
Abstract The Bring Your Own Device (BYOD) wave and advancement in technical
infrastructures and in learning technology opens for new ways of teaching in the classroom …

[PDF][PDF] Corpus annotation through crowdsourcing: Towards best practice guidelines.

M Sabou, K Bontcheva, L Derczynski, A Scharl - LREC, 2014 - Citeseer
Crowdsourcing is an emerging collaborative approach that can be used for the acquisition of
annotated corpora and a wide range of other linguistic resources. Although the use of this …

Using the Amazon Mechanical Turk for transcription of spoken language

M Marge, S Banerjee… - 2010 IEEE International …, 2010 - ieeexplore.ieee.org
We investigate whether Amazon's Mechanical Turk (MTurk) service can be used as a
reliable method for transcription of spoken language data. Utterances with varying speaker …

The effect of digitizing and gamifying quizzing in classrooms

AI Wang, M Zhu, R Sætre - 2016 - ntnuopen.ntnu.no
The use of game-based learning in the classroom has become more common in recent
years. Many game-based learning tools and platforms are based on a quiz concept where …

Risks and rewards of crowdsourcing marketplaces

J Chandler, G Paolacci, P Mueller - Handbook of human computation, 2013 - Springer
Crowdsourcing has become an increasingly popular means of flexibly deploying large
amounts of human computational power. The present chapter investigates the role of …

Respeak: A voice-based, crowd-powered speech transcription system

A Vashistha, P Sethi, R Anderson - … of the 2017 CHI conference on …, 2017 - dl.acm.org
Speech transcription is an expensive service with high turnaround time for audio files
containing languages spoken in developing countries and regional accents of well …

[PDF][PDF] Collecting Voices from the Cloud.

I McGraw, C Lee, IL Hetherington, S Seneff, JR Glass - LREC, 2010 - Citeseer
The collection and transcription of speech data is typically an expensive and time-
consuming task. Voice over IP and cloud computing are poised to eliminate this impediment …

[PDF][PDF] Speaking to the Crowd: Looking at Past Achievements in Using Crowdsourcing for Speech and Predicting Future Challenges.

G Parent, M Eskenazi - Interspeech, 2011 - Citeseer
This paper examines the literature on the use of crowdsourcing for speech-related tasks:
speech acquisition, transcription and annotation as well as the assessment of speech …

Using different acoustic, lexical and language modeling units for ASR of an under-resourced language–Amharic

MY Tachbelie, ST Abate, L Besacier - Speech Communication, 2014 - Elsevier
State-of-the-art large vocabulary continuous speech recognition systems use mostly phone
based acoustic models (AMs) and word based lexical and language models. However …