798 XXXI International Mineral Processing Congress 2024 Proceedings/Washington, DC/Sep 29–Oct 3
industry. Three major challenges, including decreased ore
grade complicating the mining operation, growing chal-
lenges for tailing management, and increasing responsibili-
ties for sustainability and environment are included in the
survey. The survey results imply that the current curricu-
lums made the graduate aware of challenges faced by the
mining and metallurgical industry, i.e., 4.79 ± 0.58, 4.75 ±
0.64, and 4.96 ± 0.59 for the respective challenges.
Applying AI/VR, Shortage of Workforces, and
Collaboration Between Academia and Industry
In exploring new potential methodology to improve min-
ing engineering education, one question asks the industry
whether they think the emerging technologies, such as arti-
ficial intelligence and virtual reality (AI/VR), can be effec-
tive tools. The responses signal an encouraging attitude,
i.e., 5.14 ± 0.50. Additionally, the industry seems to be
1
2
3
4
5
6
7
Mining methods
such as those used
in mine planning,
design, operation,
and closures
Mine design in
underground and
surface mines
Engineering
sciences underlying
the mining methods,
including
thermodynamics,
electrical circuits,
hydraulics, and
strength of materials
Mining design
experience
Mining feasibility
study
Figure 1. Qualifications of mining engineering graduates upon their first professional employment. Scores
of 1 =strongly disagree, 4 =neither agree nor disagree, 7 =strongly agree. Error bars show the 95% CIs.
Orange bars have the lower limits lower than 4, which indicate areas require improvement
1
2
3
4
5
6
7
Graduates have
demonstrated a
reasonable grasp on the
connection between
theory and practice
Graduates have sufficient
communication skills for
their first professional
careers
Students should have a
good understanding of
the overall mining
operation, e.g., the mine-
to-mill approach
Graduates have
demonstrated sufficient
understanding of the
overall mining operation
Figure 2. Qualifications of graduates derived from the overall program. Scores of 1 =strongly disagree, 4 =
neither agree nor disagree, 7 =strongly agree. Error bars show the 95% CIs. Error bars show the 95% CIs.
Orange bars have the lower limit lower than 4, which indicate areas require improvement
Score
Score
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