This project aims to explore the implications of integrating ADT into skills training programs for newcomers and investigating its potential to bridge the skills gap.
Most studies of immigrant employment integration are grounded in human capital theory (HCT) (e.g., Borjas, 1994; Chiswick & Miller, 2009; Clarke & Skuterud, 2016), which assumes immigrants’ labour market disadvantage stems from a lack of host country-relevant skills. Accordingly, the majority of empirical studies of employment integration focus on how immigrants’ individual attributes and behaviours determine their employment outcomes (e.g., Fuller, 2015; Hou & Picot, 2016; Tverdostup, & Paas, 2019). Even after all individual factors are accounted for, however, immigrants face differential outcomes in the labour market relative to native-born workers (Adamuti-Trache, Anisef, & Sweet, 2013; Li & Li, 2013; Skuterud, 2010). This calls for analysis, and we argue for the need to examine the role of employers in immigrant integration. The inability to accurately assess foreign credentials, a lack of understanding of foreign work experience and bias in employment processes can all contribute to inequitable outcomes for newcomer jobseekers and employees (Banerjee, Reitz, & Oreopoulos, 2018; Banerjee et al., 2021). At the same time, employers face challenges in recruiting and retaining staff that have the skills they need. Recent data from Statistics Canada show that 36% of Canadian businesses reported labour shortages at various skill levels (Statistics Canada, 2022).
With the growth of the use of Advanced Digital Technology (ADT), particularly AI and machine learning, in the labour market, experts and executives are warning that bad data and biased predictive models could have a significant negative impact on equity-deserving groups, such as immigrants (Bergamini. 2023). Nevertheless, ADT can also have a transformative role to bridge the gap between newcomers' skills and labor market demands. This research aims to explore the various implications of integrating ADT into skills training programs for newcomers, and investigating its potential to bridge the skills gap. It will also study the job search strategies of newcomers in the economic class, particularly in relation to the use of ADT with the aims of: understanding the strategies employed by newcomers in the economic class in their job search process, exploring the use of ADT in the job search process, and obtaining feedback from participants on the efficacy of ADT in providing entry into the labour market.
Skills Gap and the Role of ADT: Newcomers often face challenges in integrating into the Canadian labor market due to a skills gap (Cukier, et al., 2023). The 2016 consensus shows that 52% of recent immigrants have at least a bachelor’s degree (compared to the 24% of Canadian-born) (Lane, & Murray, 2019). However, compared to Canadian-born, immigrants demonstrated a lower level of reading skills (Bélanger, & Vézina, 2017). Similarly, literacy skills are much lower among immigrants in comparison to Canadian-born individuals (Bonikowska, et al, 2008). A recent skills test shows that the average numeracy score of immigrants was lower in comparison to Canadian-born (250.7 versus 273.8) (Cukier, & Stolarick, 2020). According to the Information and Communication Technology Council (ICTC) (2016), 40% of Canada’s ICT workers are immigrants, which is a much higher share of immigrants than in any other profession. However, employers often perceive skills such as problem solving, communication and collaboration reveals challenges for newcomers (The Information and Communication Technology Council, 2021). Whether real or perceived, such skill gaps result in difficulties for immigrants to integrate into the Canadian labour market. Using ADT and AI-driven learning platforms can help assess their skills and provide tailored, flexible, and up-to-date skills training for them. Research funded by the Future Skills Centre and Deloitte identified a range of ways in which ADT can support the recruitment, upskilling and reskilling process ranging from online competency framework tests, learning management systems, adaptive learning systems and more (FSC, 2020). FSC has also funded pilot projects to test new approaches including pre-arrival testing, skills development and “nudging” programs using ADT.
Addressing Bias and Discrimination: Discrimination and unconscious bias from employers can be a barrier for newcomers' equal access to job opportunities . ADT has the potential to mitigate these biases by anonymizing applicant information, and focusing evaluation on skills and competencies rather than origin, ethnicity, or other demographic factors (Polli, 2019). Virtual skills assessments and simulations can provide employers with unbiased insights into newcomers' capabilities, thereby promoting equitable hiring practices and improving diverse workplaces (Houser, 2019). At the same time, AI systems can reify biases baked into algorithms based on historical data. Screening systems and competency testing purported to objectively assess “soft skills”, such as Lumina Spark, can embed cultural biases and disadvantage newcomers.
Streamlining Skills Assessment and Credentialing: Traditional credentials often pose barriers for newcomers due to differences in recognition in Canada (Ghadi et. al., 2023; Thomas, 2021) and other countries (Damelang, Ebensperger, & Stumpf, 2020). ADT can change skills assessment processes by providing verifiable, adaptable, and up-to-date proof of skills attainment (Ciari, et. al, 2021). This approach empowers newcomers to showcase their skills and experiences, bypassing challenges associated with foreign credentials.
Adaptive learning, upskilling and reskilling: Recent work also explores ways in which technology can facilitate the upskilling and reskilling and development of employees with Learning Management Systems as well as adaptive learning paced to meet individual needs (Harrington et. al, 2020). This has particularly potential for immigrants across skills groups but especially for language learning as well as microcredentialling (Diversity Institute, 2022). While employers such as Danby have been celebrated for their commitments to supporting skills development for newcomers with on the job language training (Danby,2023),,new technologies offer opportunities to augment, scale and connect individual initiatives (Focus Canada and Learning Upgrade, 2023).
Potential Risks of Applying ADT: While the potential benefits of ADT in skills training are substantial, there exist potential risks such as reinforcing digital divides due to unequal access to technology, or the dehumanization of training experiences in a virtual environment (Giermindl et al., 2022). This research seeks to critically analyze and address both the potential and the risks of ADT to ensure responsible and equitable deployment.
This project shifts the focus from individual immigrant behaviors and attributes to organizational policies and processes. Specifically, we aim to understand are interested in whether and how integrating advanced digital technologies into recruitment, selection and talent management systems may facilitate or impede hiring immigrant workers.
- What are the ways in which ADT is or can be used used in the recruitment, assessment, upskilling and development of talent?
- Specifically:
- How do advanced digital technologies embedded into Human Resource Management systems affect employment opportunities for immigrants? This question investigates the ways in which digital platforms, online job marketplaces and technology-driven talent management systems influence immigrants' access to a broader range of job opportunities.
- How do digital platforms facilitate skills recognition and validation for immigrants? Investigating whether and how digital tools can bridge the gap between foreign qualifications and local job requirements is essential for understanding how technology can streamline the process of skill recognition and validation.
- What challenges and opportunities arise from the integration of digital technologies in the recruitment, assessment, upskilling and development of talent? In what ways can ADT mitigate or reify bias and discrimination in the hiring and promotion process? How can these processes be improved to account for implicit bias?
- What are the potential advantages and challenges associated with the application of ADT and how can we ensure inclusive practices to support newcomers and immigrants?
By addressing these research questions, this project seeks to uncover how employers’ use of the advanced digital technologies affects immigrant employment outcomes. By examining their effects on skills development, credential recognition, recruitment, selection and career development, this study aims to provide a comprehensive understanding of how technology can shape more inclusive and efficient immigrant employment integration in the modern digital age.
The research will employ a mixed-methods approach, combining both qualitative and quantitative methods.
Stage 1 (Y1): Stage 1 will focus on research designnand data collection. We will also create a detailed research plan outlining the timeline, resources, and responsibilities during this stage. The first step will be a comprehensive literature review to understand the landscape of ADT’s application to recruitment, screening, training and development and the implications for newcomers and immigrants. During this phase we will also design our qualitative and quantitative data collection processes, obtain REB approval for the research instruments (i.e. surveys, interview guides, focus group protocols), and start participant recruitment. We will conduct semi-structured interviews and focus groups with key stakeholders, including technology providers and employers to better understand the use of these tools and based on this will apply an EDI analysis to identify areas of concern. We will also interview newcomers job seekers to assess their experiences, challenges, and perceptions related to the use of ADT in skills training. Stage 2 (Y2): During this stage we will continue data collection and analysis. The research will utilize a qualitative approach, employing semi-structured interviews and content analysis to gain in-depth insights into the experiences, perceptions, and practices related to the integration of digital technologies by employers and their effect on immigrant integration. We will interview both immigrant workers/job seekers and employer representatives. Through convenience and snowball sampling techniques we will identify, recruit and interview immigrants from diverse industries, skill levels and backgrounds. We will employ purposeful sampling to find and select HR professionals and other key informants involved in talent management and recruitment processes within organizations. One-on-one semi-structured interviews with immigrants and employer representatives will allow us to investigate topics such as digital platform usage, perceived impact, challenges, and recommendations. In addition to this, we will also collect and analyze relevant documents, such as recruitment policies, diversity and inclusion guidelines, and digital platform interfaces, to gain insights into the operationalization of digital technologies. We will utilize thematic analysis to identify recurring patterns, themes, and nuances across the interview data. Themes will be derived deductively from the research questions and inductively from emergent patterns. Our analytical approach will allow us to conduct a comparative analysis across different participant groups (immigrant job seekers and employees, HR professionals and other employer representatives) to identify commonalities and variations in perceptions and practices. For quantitative data we will use statistical analysis and for qualitative data we will perform thematic analysis to identify patterns and themes. At this stage, we will also conduct case studies to analyze specific cases where ADT can be implemented in skills training programs and AI-Powered platforms (e.g., BRIDGE; HRSG; whatfix; officevibe; HIGHMATCH; Worklytics; etc.). These case studies will involve detailed analysis of program design, implementation strategies, participant feedback, and outcomes. Comparisons will be made between traditional training methods and those incorporating ADT to assess the added value. We will then synthesize insights from all the collected data and draw connections between ADT's impact on closing the skills gap, reducing unconscious bias, skills assessment, and credential recognition.
Stage 3 (Y3): Stage 3 will focus on interpretation of data and dissemination of research results. During this stage, we will finalize research reports, presentations, and academic papers and disseminate findings through conferences, and academic publications. Depending on the findings and implication we may produce a special issue compiling the results.
Working with a post doctoral fellow, one PhD student and three master students. Drs. Banerjee, Cukier, George and Liu will lead this sub-project. Employer organizations including the Ontario Chamber of Commerce, Canadian Chamber of Commerce and Sectoral Councils will be invited to collaborate, as will an immigrant employment organization such as ACESS, Skills for Change, COSTI and technology experts including Magnet, Deloitte, Accenture and others.
Timeline
|
2023
Oct-Dec
|
2024
Jan-Mar
|
2024
Apr- Jun
|
2024
July-Sept
|
2024
Oct-Dec
|
2025
Jan-Mar
|
2025
Apr- Jun
|
2025
July-Sept
|
2025
Oct-Dec
|
2026
Jan-Mar
|
2026
Apr- Jun
|
2026
July-Sept
|
Stage 1: Research design and data collection
|
X
|
X
|
X
|
X
|
|
|
|
|
|
|
|
|
Stage 2: Data collection and data analysis
|
|
|
|
|
X
|
X
|
X
|
X
|
|
|
|
|
Stage 3: Knowledge mobilization
|
|
|
|
|
|
|
|
|
X
|
X
|
X
|
X
|
The outcomes and deliverables of this research project would include a range of tangible and intangible results that contribute to the understanding of the topic and its practical implications:
- One or two reports outlining the research objectives, methodology, findings, recommendations, and conclusions, which will provide an in-depth analysis of the impact of ADT on skills training for newcomers (by September, 2024).
- At least four academic papers which will be submitted to peer-reviewed journals, presenting the research's significant findings, methodology, and implications (October, 2024 to September, 2026).
- At least ten conference presentations and panel discussions to engage with peers, and foster discussion and feedback (October, 2024 to September, 2026).
- At least ten workshops and seminars to share insights with practitioners, policymakers, and training service providers (October, 2025 to September, 2026).
- One national conference (two days) on ADT in skills training for immigrants for academia, immigrant support services, policy makers, and training service providers.
- One mapping of the current programs and policies in Canada that support the newcomers’ integration in the labour market (September, 2024).
- About 20 detailed case studies showcasing successful implementations of ADT in newcomer skills training programs around the world, and providing concrete examples of the technology's effectiveness (by September, 2025).
- One or two policy briefs with detailed suggestions for policymakers, training providers, employers, and other stakeholders on effectively leveraging ADT to address skills gaps and discriminations against newcomers (September, 2026).
- Digital Media Content: accessible digital content, such as infographics, podcasts or short videos, to disseminate key findings and insights to a broader audience. (September 2026)
- Workshop/webinar: a webinar will be developed for employers to discuss the findings from the study and also to provide insights on how advanced digital technologies can be leveraged to better integrate newcomers in the workplace. (September 2026)
Wendy Cukier, Rupa Banerjee, Usha George
This project is an extension of a study that Dr. Banerjee is currently undertaking with colleagues at Toronto Metropolitan University (Drs. Sadaf Mustafiz, Cherie Ding and Imogen Coe). In that project, we are developing a scalable talent acquisition platform with equity, diversity, and inclusion (EDI) best practices embedded in it, through which Canadian companies can access and hire industry-ready new talent on a just-in-time basis across the country. The talent acquisition platform is being developed using model-driven software engineering (MDSE) methods and tools. We believe this recruitment platform can be a key tool to improve skilled immigrant labour market outcomes by connecting newcomer talent with employer needs. The proposed sub-project builds on this existing study by examining the overall impact of advanced digital technologies on employers’ ability to successfully integrate newcomers.
The Diversity Institute and Future Skills Centre have conducted several projects led by Wendy Cukier and a cross national team related to skills gap, skills training, and digital transformations. Technology-enabled innovations in the skills and employment ecosystem with Deloitte (Harrington et al., 2020) outlined a framework for the use of technology through the recruitment, retention and upskilling journey. This project will be augmented from the existing projects to critically examine the use of ADT targeting immigrant jobseekers, shedding light on not only the effectiveness of ADT but also the potential risks it might bring to the space. Pathways to Employment, a comprehensive strategy through the Future Skills Centre offers a range of evidence-based services and tools for employers including the Diversity Assessment Tool and App, the Magnet Recruitment and Job Matching Platform and the Learning Management System for Small and Medium Enterprises with the Ontario Chamber of Commerce.
n/a